基于性能退化预测的数控机床预防维修方法

摘要/Abstract

摘要：

为解决数控机床传统维修方法存在的“欠维护”或“过维护”弊端，提出了一种基于系统性能退化预测的预防维修方法，利用统计过程控制技术分析产品质量数据，实现机床工作状态的预测。建立了关键零部件的Wiener退化模型来预测寿命分布，从而可结合剩余寿命和收益确定最优预防维修策略。以某汽车活塞生产线上的数控机床异常数据为例，验证了所提方法的有效性。

关键词: 统计过程控制, Wiener退化模型, 寿命预测, 预防维修

Abstract: In order to solve the disadvantages of “under maintenance” or “over maintenance” in traditional maintenance methods of CNC machine tools, a preventive maintenance method was proposed based on the prediction of system performance degradation. The SPC technology was used to analyze the product quality data and realize the prediction of the working states for the machine tools. The Wiener degradation model of a key component was established to predict the life distribution, so that the optimal preventive maintenance strategy might be determined by residual life and revenues. Taking the abnormal data of CNC machine tools in an automobile piston production line as an example, the validity of proposed method was verified.

Key words: statistical process control(SPC), Wiener degradation model, life prediction, preventive maintenance

中图分类号:

代愽超;张英杰;李阳帆;陈波. 基于性能退化预测的数控机床预防维修方法[J]. 中国机械工程.

DAI Bochao;ZHANG Yingjie;LI Yangfan;CHEN Bo. Preventive Maintenance Method of CNC Machine Tools Based on Performance Degradation Prediction[J]. China Mechanical Engineering.

参考文献

[1]宋文家，张超勇，尹勇，等. 基于多目标混合殖民竞争算法的设备维护与车间调度集成优化[J]. 中国机械工程， 2015, 26(11)：1478-1487.
SONG Wenjia, ZHANG Chaoyong, YIN Yong, et al. Integrated Optimization of Equipment Maintenance and Shop Scheduling Problem Based on Multi-objective Hybrid Imperialist Competitive Algorithm[J]. China Mechanical Engineering, 2015, 26(11)：1478-1487.
[2]张娟，陈云. 基于SPC的压铸质量监控技术研究[J]. 机械工程与自动化， 2017(2)：152-154.
ZHANG Juan, CHEN Yun. Die-casting Quality Monitoring Technology Based on SPC[J]. Mechanical Engineering & Automation, 2017(2)：152-154.
[3]刘宏，全凌云. 应用SPC技术监控过程质量[J]. 电子质量，2010(1)：34-37.
LIU Hong, QUAN Lingyun. Control and Watch Process Quality by SPC Technology[J]. Electronics Quality， 2010(1)：34-37.
[4]乐清洪. 智能工序质量控制的理论与方法研究[D]. 西安：西北工业大学, 2002.
LE Qinghong. Research on the Theory and Methodology of Intelligent Quality Control for Machining Operations[D]. Xi'an：Northwestern Polytechnical University, 2002.
[5]杨向友. SPC在汽车减速器壳加工过程中的应用[J]. 现代制造技术与装备， 2017(6)：104-106.
YANG Xiangyou. Application of SPC in Manufacturing Process of Automobile Reducer Shell[J]. Modern Manufacturing Technology and Equipment， 2017(6)：104-106.
[6]唐少琴，高晓丁. 基于SPC技术的简易数控车床加工精度的控制[J].大众科技， 2011(8)：139-140.
TANG Shaoqin, GAO Xiaoding. Machining Accuracy Control of Simple NC Lathe Based on SPC Technology[J]. Popular Science & Technology， 2011(8)：139-140.
[7]杨芳. 基于预控图的质量稳定性评价与监控研究[D]. 西安：西安理工大学, 2011.
YANG Fang. Research on Quality Stability Evaluation and Supervision Based on the Pre-control Chart[D]. Xi'an：Xi'an University of Technology, 2011.
[8]牛青，莫蓉，万能. 基于二分法的多因素工序质量诊断算法[J]. 机械工程学报， 2014, 50(2)：202-206.
NIU Qing, MO Rong, WAN Neng. Algorithm of Multi-cause Process Quality Diagnosis Based on Dichotomy[J]. Journal of Mechanical Engineering， 2014, 50(2)：202-206.
[9]张公绪，孙静. 两种质量多元诊断理论应用实例[J]. 中国质量， 2002(8)：31-34.
ZHANG Gongxu, SUN Jing. A Case Study of the Multivariate Diagnostic Theory with Two Kinds of Quality[J]. China Quality， 2002(8)：31-34.
[10]张公绪，孙静. 统计过程控制与诊断——第五讲：不合格品率控制图与通用控制图[J]. 质量与可靠性， 2002(5)：43-47.
ZHANG Gongxu, SUN Jing. Statistical Process Control and Diagnosis, Lecture Five：Unqualified Product Rate Control Chart and General Control Chart[J]. Quality and Reliability， 2002(5)：43-47.
[11]刘阳. P控制图在食品企业产品质量管理中的应用[J]. 食品研究与开发， 2015(13)：150-152.
LIU Yang. Application of P Control Charts in the Food Product Quality Management[J]. Food Research and Development, 2015(13)：150-152.
[12]SI S, DUI H, ZHAO X, et al. Integrated Importance Measure of Component States Based on Loss of System Performance[J]. IEEE Transactions on Reliability， 2012, 61(1)：192-202.
[13]CAI L, ZHANG Z, CHENG Q, et al. An Approach to Optimize the Machining Accuracy Retainability of Multi-axis NC Machine Tool Based on Robust Design[J]. Precision Engineering, 2016, 43：370-386.
[14]ZHANG D, ZHANG Y, YU M, et al. Reliability Defects Identification of Serial Production Systems：Application to a Piston Production Line[J]. Arabian Journal for Science and Engineering， 2014, 39(12)：9113-9125.
[15]张根保，李冬英，刘杰，等. 面向不完全维修的数控机床可靠性评估[J]. 机械工程学报， 2013, 49(23)：136-141.
ZHANG Genbao, LI Dongying, LIU Jie, et al. Reliability Assessment for Multiple NC Machine Tools Oriented to General Repair[J]. Journal of Mechanical Engineering， 2013, 49(23)：136-141.
[16]程志君，高大化，黄卓，等. 不完全维修条件下的视情维修优化模型[J]. 系统工程与电子技术， 2006, 28(7)：1106-1108.
CHENG Zhijun, GAO Dahua, HUANG Zhuo, et al. Optimal Analysis of the Condition-based Maintenance Model under the Imperfect Repair[J]. Systems Engineering and Electronics， 2006, 28(7)：1106-1108.
[17]阚英男. 基于网格近似法的数控机床贝叶斯可靠性评估研究[D]. 长春：吉林大学, 2015.
KAN Yingnan. Research on Bayesian Reliability Assessment for NC Machine Tools Based on Grid Approximation[D]. Changchun：Jilin University, 2015.
[18]许彬彬. 基于维修程度的数控机床可靠性建模与分析[D]. 长春：吉林大学, 2011.
XU Binbin. Study on Reliability Modeling and An-alysis of CNC Machine Tools Based on Maintenance Degree[D]. Changchun：Jilin University, 2011.
[19]唐圣金，郭晓松，周召发，等. 步进应力加速退化试验的建模与剩余寿命估计[J]. 机械工程学报， 2014, 50(16)：33-40.
TANG Shengjin, GUO Xiaosong, ZHOU Zhaofa, et al. Step Stress Accelerated Degradation Process Modeling and Remaining Useful Life Estimation[J]. Journal of Mechanical Engineering， 2014, 50(16)：33-40.
[20]郭琦. 基于性能退化数据的可靠性评估方法研究[D]. 广州：华南理工大学, 2015.
GUO Qi. Research on Reliability Assessment Methods Based on Performance Degradation Data[D]. Guangzhou：South China University of Technology, 2015.
[21]彭卫文. 重型数控机床可靠性建模与评估技术研究[D]. 成都：电子科技大学, 2016.
PENG Weiwen. Research on Methods for Reliability Modeling and Assessment of Heavy-duty CNC Machine Tools[D]. Chengdu：University of Electronic Science and Technology of China, 2016.