Table of Content

25 August 2025, Volume 36 Issue 8

Previous Issue   

Research on Pressure Stabilization for Loading Cylinders under Centrifu-gation Supergravity Environment Based on Experimental Tests

Bingjing QIU, Muhua JIA, Yinqi LI, Liubin JI

2025, 36(8):  1651-1657.  DOI: 10.3969/j.issn.1004-132X.2025.08.001

Asbtract ( )   HTML ( )   PDF (2744KB) ( )  

Figures and Tables | References | Related Articles | Metrics

To solve the problems of excessive pressure fluctuations in the simulation environment of high gravity centrifugal environment without an external oil source， the factors causing pressure fluctuations were analyzed， and experimental tests were conducted on each factor. Based on the analysis of each factor， an accumulator stabilization scheme was proposed， and the effects of accumulator working parameters， working pressure， and working medium parameters on stabilization performance were compared under different deformation conditions of specimens through supergravity experiments. The experimental test results show that within the temperature range of 36~42.5 ℃， the pressure fluctuation of oil caused by temperature changes is less than 4%. The deformation of the specimen is the main factor affecting pressure fluctuations， with a pressure fluctuation ratio of up to 47% caused by a deformation of 1 mm in the samples. The fluctuation ratio of the accumulator during pressure stabilization under supergravity is proportional to the working pressure and the deformation of the specimen. The use of two 300 mL gas volume accumulators may achieve the requirement of less than 10% internal pressure fluctuation of 20 MPa， which is consistent with theoretical calculations. The test provides technical support for controlling pressure fluctuations in high-temperature and high-pressure devices under supergravity environments.

An Aviation Gear Bulk Temperature Prediction Method and Verification Research Based on CatBoost

Chenfan JIA, Huaiju LIU, Caichao ZHU, Taimin CHEN, Jinxiao CHEN

2025, 36(8):  1658-1667.  DOI: 10.3969/j.issn.1004-132X.2025.08.002

Asbtract ( )   HTML ( )   PDF (3521KB) ( )  

Figures and Tables | References | Related Articles | Metrics

The present study conducted gear scuffing tests and employed a wireless temperature measuring system to acquire bulk temperature data for aviation gears. Subsequently， a novel methodology， based upon the CatBoost algorithm， was developed with the intention of predicting the bulk temperature of aviation gears. Moreover， the contributions of parameters such as lubricant additives， thermal conductivity， torque， hardness， roughness， lubricant density， and lubricant viscosity to gear bulk temperature were identified. A predictive formula for aviation gear bulk temperature， considering materials and lubricant parameters， was proposed as a solution to the identified issues. Notably， the results demonstrate that the formulated formula achieves a prediction error within 10% for the bulk temperature of aviation gears. And the formula offers a promising method for designing aviation gears against scuffing failures.

Research Progresses and Prospect of Key Technologies for Explosive Zone 0 Fans

Longjun CHENG, Gang LIU, Lei CHEN, Dongze LI, Xiao XING, Gan CUI

2025, 36(8):  1668-1682.  DOI: 10.3969/j.issn.1004-132X.2025.08.003

Asbtract ( )   HTML ( )   PDF (5844KB) ( )  

Figures and Tables | References | Related Articles | Metrics

The oil and gas storage and transportation processes were characterized by the explosive 0-zone environment where flammable gas and air were mixed. The zone 0 fan is an important device to ensure the safety of the zone 0 environment. This paper classified and reviewed the research progresses in the fields of narrow confined space combustion and explosion laws， flow field optimization calculation， impeller centrifugal stress and vibration， safety shaft seal technology， and explosion suppression testing for zone 0 fans. Five technical prospects were proposed： 1） establishing an explosion test method for zone 0 fans was the top priority， and a closed-loop test system should be established to evaluate the explosion resistance performance； 2） compared with narrow confined space combustion， the rotating structures within the fan’s interior had different DDT laws， which should be revealed through experiments and calculations； 3） analyze the disturbance laws of the flame arrester on the flow field， and conduct a comprehensive flow field optimization study to improve the ventilation performance of the fans； 4） study the distribution and vibration laws of high-speed impeller stress， and propose safe stress limits and improvement methods； 5） develop anti-explosion， anti-static， wear-resistant shaft seal materials and efficient seal structures. The conclusion is that by conducting researches on key technologies， it is possible to achieve a breakthrough in domestically produced zone 0 fans of the same type.

Analysis and Optimization of Meshing Performance of Straight Bevel Gears Machined by Dual Interlocking Circular Cutters

Jinzhan SU, Yaoke FENG, Bin LIU, Xinlong CAO, Linlin SUN

2025, 36(8):  1683-1690.  DOI: 10.3969/j.issn.1004-132X.2025.08.004

Asbtract ( )   HTML ( )   PDF (1896KB) ( )  

Figures and Tables | References | Related Articles | Metrics

A method for milling/grinding straight-toothed bevel gears using high-efficiency double-arc cutting tools was proposed to improve their meshing performance. A double arc tool was used to simulate a crown-producing wheel， and tool trimming coefficients， the average radius of the cutter disk and the cutting edge angle were introduced to establish a straight bevel gear tooth face model that considered tooth profile and tooth direction trimming. According to the conditions of continuous tangency of two meshing gears， a tooth contact analysis model was established， and combined with tooth clearance， normal flexibility matrix and mathematical planning， a wheel tooth bearing contact analysis model was established. Then with the goal of achieving symmetry in geometric transmission errors and minimising fluctuations in load transmission errors， the tool profiling origin positions was adjusted and tool parameters were optimised. The geometric transmission errors and load transmission errors of the gear were compared before and after optimization. The example results show that the position of the tool reshaping origin affects the symmetry of the geometric transmission errors； the larger the tool reshaping coefficient is， the larger the amount of tooth profile reshaping is， the amplitude of the geometric transmission errors and the amplitude of the load bearing transmission errors will increase； with the decrease of the average radius of the knife holder and the increase of the blade angle， the amount of tooth profile reshaping is increased， and then the area of the tooth surface mark will be reduced. After optimization， the amount of bearing transmission error fluctuation is reduced by 56.54% under the working load， which may effectively reduce the vibration excitation of the gear pairs.

A Model-free Cross-coupling Control Method for Parallel Kinematic Mechanisms with Symmetric Structure

Zhiwei ZHOU, Jian GAO, Lanyu ZHANG

2025, 36(8):  1691-1699.  DOI: 10.3969/j.issn.1004-132X.2025.08.005

Asbtract ( )   HTML ( )   PDF (3050KB) ( )  

Figures and Tables | References | Related Articles | Metrics

The dynamic coupling effectiveness between the driving joints of parallel mechanisms was a key challenge affecting their trajectory tracking performance. Existing multi-motor cooperative control methods for parallel platforms often ignored the inter-joint coupling relationships and their coordination， which affected the motion accuracy of the end-effector. To address this issue， a model-free cross-coupling control method was proposed to improve the tracking accuracy of the mechanisms in the task space. By introducing the motor cooperative erros that represented the relationship between the motions of neighboring motors，the method employed the TDE technique to indirectly perform the closed-loop control of the mechanism dynamics， solving the uncertainty problems of the dynamics model. Additionally， the stability of the proposed method was analyzed and proven using the Lyapunov theorem， and experimental validations were performed on a symmetric parallel kinematic mechanism. The results show that， compared to the existing TDC method， the proposed method may effectively reduce the end-effector’s motion tracking errors through efficient position tracking and stable operations of the parallel mechanisms.

Optimization Principle and General Method for Multiple Topology Decoupling of Parallel Mechanisms

Ju LI, Yue GUO, Huiping SHEN, Qinmei MENG, Xiaoyang GU

2025, 36(8):  1700-1712.  DOI: 10.3969/j.issn.1004-132X.2025.08.006

Asbtract ( )   HTML ( )   PDF (1512KB) ( )  

Figures and Tables | References | Related Articles | Metrics

The existing synthesis methods for PMs only focused on basic functions （DOF， POC）.The coupling degree （k） of the synthesized PMs was of generally high （k≥2）， which made the calculation of forward kinematic solutions and subsequent research （kinematics， dynamic balance， and dynamic analysis） more complex. All these issues affected the applications of PMs in the manufacturing industries. The principle and method of multiple topology decoupling optimization for PMs was proposed with the goal of reducing the coupling degree of PMs. Taking the 6-DOF three-translation-three-rotation（3T3R） 6-6R unconstrained PM （k=4） as an example， this paper elaborated on the method of multiple topology decoupling optimization of PMs and the applications， and gradually optimized the 6-DOF 3T3R unconstrained PM with coupling degrees k=3， 2， 1 and 0. The multiple topology decoupling optimization processes of a typical 6-DOF Stewart-Gough platform PM were also elaborated， and the corresponding topology optimization configurations were obtained， which facilitated the kinematic/dynamic modeling and performance analysis of these PMs. It provides inspiration and direction for the topology decoupling optimization of other multi-loop complex PMs.

Statistical Analysis of Planetary Roller Screw Thread Machining Errors and Comparative Study at Home and Abroad

Siqi LIU, Peitang WEI, Rui HU, Xuesong DU, Li LUO, Caichao ZHU, Pengliang ZHOU

2025, 36(8):  1713-1727.  DOI: 10.3969/j.issn.1004-132X.2025.08.007

Asbtract ( )   HTML ( )   PDF (4720KB) ( )  

Figures and Tables | References | Related Articles | Metrics

PRSM was a new type of precision threaded transmission mechanisms. Currently， due to the difficulty in grinding small pitch hard tooth profile precision threads， ensuring the machining accuracy of PRSM precision threads was challenging， which led to a significant gap between domestic and foreign products in terms of load-bearing capacity， travelling accuracy and transmission efficiency and other performance aspects. This paper selected typical PRSM products from domestic and foreign markets to conduct statistical， analytical， and comparative research on thread machining errors. First， the axial profile of the screw， roller and nut thread was detected based on the contact measurement method. Evaluation techniques such as gradient threshold method and axis transformation theory were employed to assess and statistically analyze errors including pitch diameter errors， pitch errors， eccentricity errors， and tooth profile angle errors. Based on these analyses， the paper elaborated on the mechanism behind typical irregularities in PRSM thread machining， such as taper in pitch diameters and periodic fluctuations in multi-start thread pitchs. Furthermore， corresponding process optimization strategies were proposed for quality control in thread machining， aiming to support efficient precision grinding and performance enhancement of domestic PRSM threads.

Kinematics and Transmission Performance Analyses of Parallel Hybrid Drive Mechanisms

Xingyu ZHAO, Tieshi ZHAO, Bo XU, Xiangquan LIU, Yufei QIN

2025, 36(8):  1728-1739.  DOI: 10.3969/j.issn.1004-132X.2025.08.008

Asbtract ( )   HTML ( )   PDF (4539KB) ( )  

Figures and Tables | References | Related Articles | Metrics

To expand the application scopes of parallel mechanisms， a 3-RPRR （PRRRP） RS parallel mechanism that might achieve high-medium-low frequency hybrid driving was proposed， and the input rationality was analyzed based on screw theory. A set of pose solution models that might achieve hybrid driving were obtained through the driving locking method， and a motion description of the hybrid driving unit was established based on the generalized screw. The first-order influence coefficient matrix of the mechanisms was derived， and a set of numerical examples were used to achieve mutual verification between theory and simulation. The global transmission performance indicators of the mechanisms under hybrid driving were elucidated， and size optimization was carried out based on genetic algorithm. The results show that the global transmission performance of the mechanisms under low-frequency， medium frequency， and high-frequency driving was improved by 11.78%， 9.94%， and 9.44% respectively.

Fatigue Cumulative Damage Model Considering Dynamic Memory Properties of Materials

Sizhu ZHOU, Qiongyao XIANG, Yun ZENG

2025, 36(8):  1740-1748.  DOI: 10.3969/j.issn.1004-132X.2025.08.009

Asbtract ( )   HTML ( )   PDF (3088KB) ( )  

Figures and Tables | References | Related Articles | Metrics

In order to evaluate the fatigue life of engineering components under variable amplitude loads and improve the prediction accuracy of fatigue life， based on the S⁃N curve， a new form of material memory performance function was introduced and a new fatigue cumulative damage model was established considering the damages and irreversible degradation caused by grain boundary cracking， slip extrusion and extrusion in the materials caused by cyclic loads. A two-stage loading tests were carried out on the pump head bodies of 30NiCrMoV12 and 30CrMnSiA to verify the accuracy of the model proposed herein for fatigue life prediction. The results show that the fatigue cumulative damage model considering the dynamic memory characteristics of the materials is compared with other models. The fatigue life prediction results under high-low two-stage loading conditions are within the error band of 1.5 times， and the mean prediction error is less than 0.1， which has higher prediction accuracy.

Design and Experimental Research of RV Reducer Main Bearing Test Benches

Qingwang ZHU, Jing ZHANG, Faxiang XIE, Zhonggang ZHU, Jianyu GUO, Houlin YAN

2025, 36(8):  1749-1756.  DOI: 10.3969/j.issn.1004-132X.2025.08.010

Asbtract ( )   HTML ( )   PDF (2901KB) ( )  

Figures and Tables | References | Related Articles | Metrics

In order to obtain the overturning stiffness and fatigue performance of RV reducer main bearing， a main bearing test bench was developed， which might accurately measure the overturning stiffness and fatigue life of RV reducer main bearings. The working principle and detailed structure of the test bench were emphatically introduced. The main bearing test bench consisted of mechanical systems， electric control systems and measurement software. The overturning stiffness of RV-125N reducer with different main bearing preloads was tested， and the fatigue test of RV-125N reducer with main bearing preload of 0.06 mm was carried out， and the failure mode and principle of the main bearing after the fatigue test were discussed. A three-dimensional analytical model of the RV-125N reducer was developed based on the experimental conditions in Masta software， and the life of the main bearing of RV-125N reducer was simulated and analyzed， and the simulation results show that the theoretical lifetime is 89% of the actual lifetime. The development of the test bench solves the problems of inaccurate overturning stiffness tests of the main bearings and the difficulty of fatigue life verification，and provides theoretical value and practical application value for the design and manufacture of RV reducers.

Curvature Parameterization Model for Variable Cross-section Euler Beams under Large Deflection

Yonggang HUANG, Dan XIE

2025, 36(8):  1757-1766.  DOI: 10.3969/j.issn.1004-132X.2025.08.011

Asbtract ( )   HTML ( )   PDF (1554KB) ( )  

Figures and Tables | References | Related Articles | Metrics

In order to achieve optimization of structures and performances， variable cross-section beams were increasingly valued in compliant mechanisms. A parametric model was proposed to address the challenge of accuracy and efficiency of large deflection analysis based on curvature approximation. The proposed approach represented the curvature of deflection curve by Bernstein polynomials. Then the static equilibrium equation was established based on the principle of minimum total potential energy， and the numerical solution was obtained via Gaussian quadrature and Newton-Raphson iteration. The advantages are that the expression of bending strain energy and stress are simple and accurate， and the generalized stiffness matrix is a constant symmetric square matrix related to the variation of the cross-sectional moment of inertia. Therefore， both modeling accuracy and computational efficiency are significantly improved. Furthermore， the post-processing is simple and fast based on the solution of curvature parameters. Numerical examples fully demonstrate the effectiveness and superiority of the proposed model.

Tooth Surface Modification and Anti-wear Design of Spline between Cylinder and Shaft of Piston Pumps

Shaogan YE, Tianxing CHEN, Ding CHEN, Kefei MIAO, Shoujun ZHAO, Huixiang LIU

2025, 36(8):  1767-1773.  DOI: 10.3969/j.issn.1004-132X.2025.08.012

Asbtract ( )   HTML ( )   PDF (2990KB) ( )  

Figures and Tables | References | Related Articles | Metrics

During the operations of an axial piston pump， the changes in pressure inside the piston chamber might easily cause stress concentration when the contact of the spline pair between the cylinder and shaft of piston pumps， exacerbating the fretting wear of the tooth surfaces. In order to extend the service life of the splines， finite element method and Archard model were combined to study the wear resistance design of the spline pair between the cylinder and shaft of piston pumps. Firstly， a finite element contact model of the spline pair between the cylinder and shaft of piston pumps was developed using the finite element method. Secondly， a new method for modifying involute spline pairs was proposed， and compared with traditional tooth profile modification methods， the contact characteristics of spline pairs before and after modification were analyzed. Finally， the Archard model was used to predict and compare the fretting wear of the tooth surfaces before and after the modification of the spline pair. The results show that after appropriate modification of the spline tooth surfaces， the stress concentration phenomenon during contact is alleviated， and the maximum contact stress of the tooth surfaces is reduced. All four modification methods may reduce the fretting wear of the tooth surfaces at both ends of the spline， and the precise tooth surface modification method has a better modification effectiveness than the traditional tooth profile modification method. The results have certain guiding significance for the reliability and wear resistance design of piston pump spline operations.

Fault Diagnosability Evaluation of Meta Actuation Units Based on SABO-VMD

Hongyu GE, Zhan ZHAO, Anxiang GUO, Jiarui SUN

2025, 36(8):  1774-1783.  DOI: 10.3969/j.issn.1004-132X.2025.08.013

Asbtract ( )   HTML ( )   PDF (2765KB) ( )  

Figures and Tables | References | Related Articles | Metrics

This paper introduced an evaluative approach to gauge the complexity of fault diagnosis within meta actuation units. The methodology commences with the decomposition of fault signals from these units， utilizing a VMD technique refined by SABO. The processes included the applications of a Kurtosis-based criterion to select pertinent intrinsic mode functions （IMFs）， culminating in the creation of a feature vector grounded in envelope entropy. The evaluative task then pivoted on employing Cosine distance as a measure of similarity， recasting the fault diagnosability problems into one of assessing the likeness of vibration signal feature vectors across varying fault conditions. A diagnosability evaluation matrix for the meta actuation units was formulated， which layed the foundation for a diagnostic index. It is concluded with an empirical validation using a worm gear-based meta actuation unit； the findings confirm the method’s efficacy in quantitatively gauging the diagnosability of diverse fault patterns.

Research on Mechanism Analysis and Online Monitoring System of Camshaft High-speed Grinding Burns

Zhaohui DENG, Rongjin ZHUO, Jingqiang CHEN, Jimin GE, Lishu LYU, Wei LIU

2025, 36(8):  1784-1795.  DOI: 10.3969/j.issn.1004-132X.2025.08.014

Asbtract ( )   HTML ( )   PDF (5261KB) ( )  

Figures and Tables | References | Related Articles | Metrics

The high-speed grinding of the non-circular contours of the camshafts was prone to grinding burns， resulting in a decrease in surface quality and service life and even scrapping. Therefore， the mechanism analysis and online monitoring system of camshaft high-speed grinding burns were studied. The influences of processing parameters on grinding burns were discussed. A grinding burn's quantitative evaluation method was proposed by surface morphology and hardness.Frequency and time-frequency domain analysis methods carried out the signal processing and feature extraction. The relationship between the sensing signals and grinding burns was analyzed. The AE （acoustic emission） signal features with a high correlation with grinding burn were extracted based on ReliefF. The monitoring model of grinding burn was established based on GA-SVM（genetic algorithm-support vector machine）. And it was verified by experiments. The online monitoring system of camshaft high-speed grinding burns was developed and applied.

An IMBOA Based Collaborative Sequencing Method for Automotive Multi Associated Workshops

Haining XIAO, Huihui SUN, Minghua PENG, Jianzhou WANG

2025, 36(8):  1796-1810.  DOI: 10.3969/j.issn.1004-132X.2025.08.015

Asbtract ( )   HTML ( )   PDF (5329KB) ( )  

Figures and Tables | References | Related Articles | Metrics

To meet the different body production sequence requirements of the automotive body welding， painting and final assembly workshops while aiming to minimize production line downtime and costs， a mathematical model for collaborative car sequencing optimization of multi-related workshops was established， and a collaborative sequencing method was proposed based on the IMBOA. To efficiently obtain the collaborative sequencing scheme for multiple associated workshops that aligned with individual migratory birds， a decoding strategy was designed based on heuristic scheduling rules. Addressing the limitation of a single neighborhood structure in IMBOA， a leading bird evolution strategy relying on multiple neighborhood structures was developed. To improve the global optimization ability of the algorithm， a bird following evolution strategy combining crossover and neighborhood search was designed. Finally， taking a new energy vehicle production line as an example， a simulation analysis platform for collaborative sequencing of multiple associated workshops for the entire vehicle was developed to verify the proposed sequencing method. Simulation experimental results show that compared with methods such as improved genetic algorithm （IGA） and improved ant colony algorithm （IACOA）， the designed IMBOA may obtain a better solution set.

Research on Flexible Job Shop Scheduling Problems Considering Limited AGV Transportation Resources

Guohui ZHANG, Yihao CAI, Zhixiao LI, Shenghui GUO, Haijun ZHANG

2025, 36(8):  1811-1823.  DOI: 10.3969/j.issn.1004-132X.2025.08.016

Asbtract ( )   HTML ( )   PDF (3435KB) ( )  

Figures and Tables | References | Related Articles | Metrics

Aiming at the flexible job shop scheduling problems of limited AGV transportation resources in the intelligent manufacturing environments， an integrated scheduling model for limited AGV transportation resources was established with the objective of minimizing the maximum completion time， total energy consumption and the delivery penalty value of workpieces. An improved NSGA -II solution algorithm was proposed to construct a three-stage coding scheme for the integrated scheduling model， and three initialization rules were designed to improve the quality and diversity of the initial population. Combined with the critical path， an improved variable neighborhood search was proposed to enhance the local search capability of the algorithm. In the experimental part， the algorithm was compared with other algorithms using various evaluation indexes， and the experimental results show that the algorithm may effectively solve the integrated scheduling problems of limited AGV transportation resources under different sizes of standard test cases and actual production cases of aviation enterprises. Meanwhile， the effectiveness of the integrated scheduling model was analyzed under different numbers of AGVs， and it is concluded that the number of AGVs in the flexible operation workshop conforms to the law of diminishing marginal effectiveness， so as to provide a reference for the configuration of AGVs in the actual manufacturing workshop.

An Explicit Geometric Feature Matching LiDAR SLAM Method

Hongyan ZHANG, Haoyang ZHAO, Huanfeng ZHAO, Nianxuan LI, Qinzheng SUN, Lingtao HUANG

2025, 36(8):  1824-1831.  DOI: 10.3969/j.issn.1004-132X.2025.08.017

Asbtract ( )   HTML ( )   PDF (1958KB) ( )  

Figures and Tables | References | Related Articles | Metrics

Currently， most LiDAR-SLAM systems utilized front-end odometry to estimate the initial pose and back-end optimization to refine the pose， but they lacked batch back-end optimization approaches. To address these issues， a comprehensive LiDAR-SLAM system was proposed based on explicit geometric features. This system employed agglomerative hierarchical clustering for plane feature point cloud segmentation and employed local curvature computation to filter linear feature points. Furthermore， the initial pose estimation of LiDAR motion was achieved through registering point cloud features and submap features. A local state optimization method was utilized based on linear and planar primitives， where linear and planar factors were merged within a factor graph model. By minimizing residuals between linear-to-linear and plane-to-plane associations， joint batch optimization of pose， linear， and planar parameters was achieved. Experimental results demonstrate that the proposed SLAM system achieves high precision localization and map construction in various scenarios， meeting real-time SLAM requirements.

Research on Passive Compliance Control Method of High Altitude Wind Turbine Blade Grinding Robots Based on Improved ADRC

Hao LI, Xinrong LIU, Yiqin LIU, Diqing FAN

2025, 36(8):  1832-1841.  DOI: 10.3969/j.issn.1004-132X.2025.08.018

Asbtract ( )   HTML ( )   PDF (3159KB) ( )  

Figures and Tables | References | Related Articles | Metrics

To cope with unknown disturbances at high altitudes and maintain a constant contact forces at the end of a high-altitude wind turbine blade repair robots during polishing， a passive compliant control algorithm was proposed based on an improved ADRC approach. The algorithm combined dead-zone compensation and gravity compensation algorithms， fully considering issues such as gas compressibility in the pneumatic systems， characteristics of electrical proportional valve dead zones， changes in tilt angle during polishing processes， and unknown disturbances during high-altitude operations.A tracking differentiator was utilized for excessive input signals， a state observer was employed to monitor system disturbances， and compensated through a state error feedback control law. By establishing the mathematical model of the control systems and conducting simulation analysis， it is found that this control algorithm improves both force control performance and response speed compared to the traditional proportional-integral-derivative（PID） algorithm. An experimental platform was constructed to conduct experiments under various operating conditions. The experimental results show that the control algorithm systems achieve 44.6% to 51.4% reductions in settling time， a decrease in the absolute maximum error by 45.4% to 69.4%， and reductions in mean square error by 56.5% to 91.2%. Therefore， this algorithm demonstrates improved dynamic response performance and force control accuracy， along with strong disturbance rejection capabilities and robustness， providing a theoretical foundation for practical engineering applications.

Condition Monitoring of Wind Turbines Based on Neural Networks and Robust Estimation

Zitong YUE, Yanting LI, Yu ZHAO

2025, 36(8):  1842-1852.  DOI: 10.3969/j.issn.1004-132X.2025.08.019

Asbtract ( )   HTML ( )   PDF (3469KB) ( )  

Figures and Tables | References | Related Articles | Metrics

In the condition monitoring of wind turbines， temperature time-series data was used as a key indicator to evaluate the stability of their operations， typically collected by the supervisory control and data acquisition（SCADA） systems. A new method was proposed that leveraged temperature data for more robust wind turbine condition monitoring. To address the slow convergence issues in traditional prediction models， a network structure combining CNN and BiGRU was adopted， and a novel optimization algorithm—COA was introduced， to improve the training performance of the temperature prediction model. Furthermore， considering the high false alarm rate of traditional control charts in actual operational environments， a strategy was proposed that integrated median estimation （MED） and minimum regularized weighted covariance determinant （MRWCD） for robust monitoring of residual vectors. Based on these improvements， a multivariate exponentially weighted moving average control chart was established. The applications in a wind farm located in east China demonstrate that， compared with traditional monitoring methods， the proposed approach reduces false alarms significantly and provides higher reliability and stability in wind turbine condition monitoring.

Joint Optimization of Inspection， Maintenance and Spare Parts Inventory Based on POMDP Model

Kai WANG, Liudong GU, Yifan ZHOU

2025, 36(8):  1853-1863.  DOI: 10.3969/j.issn.1004-132X.2025.08.020

Asbtract ( )   HTML ( )   PDF (1888KB) ( )  

Figures and Tables | References | Related Articles | Metrics

In the research direction of joint optimization of maintenance and spare parts inventory， most of the existing research assumed that the system condition monitoring was perfect and ignored the detection errors in practical applications. In order to solve the above problems， a single-component system containing imperfect condition monitoring and fixed inspection and maintenance intervals was studied， and the condition-based maintenance（CBM） and spare parts inventory management problems of the systems were considered. POMDP were used to model the system and derive the system state transfer probabilities. In order to deal with the complex belief state spaces and improve the algorithm solution efficiency， an improved Perseus algorithm was used. In the numerical case section， the effectiveness of the algorithm was verified， and then the optimal policy structure was analyzed to show that the belief states may represent the state information relatively reasonably compared with the observations， and the effectiveness of the spare parts inventory is also demonstrated by comparing the cases without spare parts inventory.

Energy Consumption Anomaly Detection of Automobile Painting Drying System Based on TCN-GAT and Hybrid Neural Network

Congbo LI, Hewang ZHAI, Wei WU, Ke DONG, Xiangfei ZHANG

2025, 36(8):  1864-1874.  DOI: 10.3969/j.issn.1004-132X.2025.08.021

Asbtract ( )   HTML ( )   PDF (5941KB) ( )  

Figures and Tables | References | Related Articles | Metrics

A method was proposed based on TCN-GAT and hybrid neural networks for identifying anomalies in energy usage for drying systems. First， a multi-scale temporal convolutional network （TCN） and a multi-head graph attention network （GAT） were introduced to capture the temporal and spatial properties of temperature， pressure， and other variables， respectively. An anomaly detection model was built upon a combination of back propagation neural network （BPNN） and variational autoencoder （VAE）. Furthermore， an energy consumption anomaly index was formulated based on prediction errors and reconstruction probability. The peak over threshold （POT） model was utilized to fit the Pareto distribution and establish an anomaly threshold. Finally， a case study was carried out at the painting workshop of a Chongqing automobile manufacturer， where Internet of Things （IoT） devices were used to gather real-world data. Data analysis was implemented to verify the effectiveness and superiority of the proposed method.

Research on Calibration Principle and Method of Laser Tracker Base Stations Based on External Physical Standard

Haitao LI, Shulei XU, Yawen WANG, Xiaobin BAI, Xiaoning JING

2025, 36(8):  1875-1882.  DOI: 10.3969/j.issn.1004-132X.2025.08.022

Asbtract ( )   HTML ( )   PDF (3219KB) ( )  

Figures and Tables | References | Related Articles | Metrics

A kind of external physical standard for laser tracker base station calibration was designed， which was called BSC. Firstly， the principle of BSC of laser tracker was introduced. Then a high-precision CMM was used to measure the repeated positioning accuracy of the BSC， which verified the characteristics of high-precision repeated positioning， verified the feasibility of the calibration principle of the base stations， and might realize the accurate positioning of the target mirror in space. Finally， the BSC was introduced into the CNC machine tool positioning error measurement experiments， and the measurement results were compared with that of the laser interferometer. The research finds that the two measurement principles of the error value change trends are basically the same， the maximum deviation of X axis positioning error measurement is as 1.8 μm， the maximum deviation of Y axis positioning error measurement is as 2.3 μm. The results show that the calibration principle of the BSC is feasible， the accuracy meets the calibration requirements of the laser trackers， and the measurement results are in good agreement with the existing mature equipment. This method puts forward a new idea and method for the calibration of the laser tracker base stations.

Prediction of Residual Stress in Boring Main Bearing Holes of Marine Diesel Engine Bodies

Jiyuan HAN, Jiahao ZHANG, Yong ZHAN, Hongyi ZHANG, Dongyue QU

2025, 36(8):  1883-1892.  DOI: 10.3969/j.issn.1004-132X.2025.08.023

Asbtract ( )   HTML ( )   PDF (3329KB) ( )  

Figures and Tables | References | Related Articles | Metrics

As a critical structural element of the engine body， the main bearing hole directly affected the engine's overall performances and long-term reliability. For predicting residual stress， methods combining finite element simulation， response surface modelling， and machining experiments were utilized to explore how machining parameters affected surface residual stress， culminating in the determination of cutting parameters focused on minimizing these stresses. The results show that the established three-dimensional simulation model for machining surface residual stress in the main bearing hole correlates well with actual surface residual stress and the predictions of the response surface model. The response surface model achieves higher prediction accuracy than the finite element model， improving the average prediction error from 15.6% to 2.5%. Optimal cutting parameters may reduce machining-induced residual stress significantly， decreasing surface residual stress by 50.6%， cutting residual stress by 53.6%， and feed-induced residual stress by 46.2%.

IMODE Algorithm for Solving Cigarette Product Production Scheduling Problems Based on Lot-size Splitting Mechanism

Yuqiang AN, Yuan ZHANG, Ping ZOU, Yifei TAO

2025, 36(8):  1893-1903.  DOI: 10.3969/j.issn.1004-132X.2025.08.024

Asbtract ( )   HTML ( )   PDF (2015KB) ( )  

Figures and Tables | References | Related Articles | Metrics

To address the production scheduling problem of cigarette products， the tobacco packing workshop responsible for the production tasks was taken as the research object， considering the actual production conditions of cigarette enterprises. This problem was transformed into a unrelated parallel machines lot-size scheduling problems. An optimization model was established to simulate the production conditions of cigarette products， with the total number of switches of tobacco packing machines and the comprehensive evaluation time of simultaneous stoppage as the objectives. An improved multi-objective differential evolution （IMODE） algorithm was designed to solve the problems based on a lot-size splitting mechanism. To accommodate lot-size production characteristics， the algorithm used an irregular matrix encoding method to represent feasible solutions， generated the initial population based on a reverse lot-size learning strategy， updated population individuals through differential operations between matrix vectors， and performed detailed neighborhood searches of the child individuals by splitting lot-size into smaller ones， an improved elitism retention strategy was introduced during the selection processes to enhance the algorithm's optimization capability. Finally， experiments based on production instances of cigarette enterprises of different orders and workshop scales demonstrate the performance of IMODE and the effectiveness in solving the scheduling problems of cigarette products production.