基于静电感应的金属接触损伤诊断研究

摘要/Abstract

摘要：

提出了基于静电感应的金属接触损伤诊断技术和方法。分析了金属接触损伤致电机理和感应模型，利用小波单支重构和短时傅立叶变换方法验证了该技术的可行性，借助传感器阵列和智能算法实现了接触损伤位置的定位。基于因子分析和支持向量机神经网络，对不同损伤程度的试验样本实现了定量识别。该诊断技术和方法可以有效识别金属接触损伤的位置和程度。

关键词: 机械工程, 静电感应, 金属表面, 接触损伤, 故障诊断

Abstract:

Diagnosis technology and method based on electrostatic sensing for metal surface damage were proposed. Mechanism of electrostatic in metal contact damage and electrostatic sensing model were produced. Feasibility of this technology was analyzed based on wavelet transform, reconstruction and STFT(short-time Fourier transform) analysis. Damage was located by using sensor array and an algorithm. Quantitative recognition of contact damages were achieved by using support vector machine neural networks and factor analysis. So diagnosis technology and method based on electrostatic are capable of locating and quantitating the contact damage.

Key words: mechanical engineering, electrostatic sensing, metal surface, contact damage, fault diagnosis

中图分类号:

TH117.1

徐一鸣, 左洪福, 詹志娟, 徐君军. 基于静电感应的金属接触损伤诊断研究[J]. 中国机械工程, 2013, 24(10): 1369-1374,1419.

XU Yi-Ming, ZUO Hong-Fu, DAN Zhi-Juan, XU Jun-Jun. Metal Surface Damage Diagnosis Based on Electrostatic Sensing[J]. China Mechanical Engineering, 2013, 24(10): 1369-1374,1419.

参考文献

[1]詹武,闫爱淑,丁晨旭,赵燕平.金属摩擦磨损机理剖析[J].天津理工大学学报,2001(z1):19-22.
[2]李辉.流动轴承和齿轮振动信号分析与故障诊断方法 [D].西北工业大学,2001:
[3]Nakayama K,Suzuki N,Hashimoto H.Triboemis-sion of Charged Particles and Photons from SolidSurfaces during Frictional Damage [J].Journal ofPhysics D* Applied Physics,1992,25 (2):303-308.
[4]Powrie H E G, Fisher C E, Tasbaz O D, et al.Per-formance of an Electrostatic Oil Monitoring Systemduring an FZG Gear Scuffing Test[C]//Internation-al Conference on Condition Monitoring.Swansea,UK,1999:155-174.
[5]Harvey T J,Morris S, Wang L,et al.Real-timeMonitoring of Wear Debris Using ElectrostaticSensing Techniques[J].Proceedings of the Institu-tion of Mechanical Engineers,Part J:Journal of En-gineering Tribology,2007,221(1):27-40.
[6]Harvey T J, Wood R J K, Powrie H E G.Electro-static Wear Monitoring of Rolling Element Bearings[J].Wear,2007,263(7/12):1492-1501.
[7]Kasai T,Fu X Y,Rigney D A,et al.Applications ofa Non-contacting Kelvin Probe during Sliding[J].Wear,1999,229(2) ;1186-1204.
[8]DeVecchio D,Bhushan B.Use of a Nanoscale KelvinProbe for Detecting Wear Precursors [J].Review ofScientific Instruments,1998,69(10):3618-3624.
[9]Zharin A L, Rigney D A.Application of the ContactPotential Difference Technique for On-line Rub-bing Surface Monitoring (Review) [J].TribologyLetters,1998,4(2) ;205-213.
[10]Nakayama K.Triboemission of Charged Particlesand Resistivity of Solids [J].Tribology Letters,1999,6(1):37-40.
[11]Nakayama K.Tribocharging and Friction in Insula-tors in Ambient Air[J].Wear, 1996, 194(1/2):185-189.
[12]Morris S,Wood R] K, Harvey T J , et al.Use ofElectrostatic Charge Monitoring for Early Detec-tion of Adhesive Wear in Oil Lubricated Contacts[J].Journal of Tribology, 2002,124(2):289-296.
[13]Harvey T J,Wood R J K,Denuault G,et al.Inves-tigation of Electrostatic Charging Mechanisms inOil Lubricated Tribo-contacts [J].Tribology In-ternational ,2002,35(9):605-614.
[14]Powrie H E G, Wood R J K, Harvey T J, et al.Electrostatic Charge Generation Associated withMachinery Component Deterioration [C]//IEEE Aerospace Conference Proceedings. Big Sky, Mon- tana, USA, 2002 : 441-448.
[15]段晨东[1],何正嘉[2].基于第二代小波变换的转子碰摩故障特征提取方法[J].汽轮机技术,2006,48(1):34-36.
[16]石琴[1],郑与波[1].因子分析在汽车行驶工况构建过程中的应用[J].中国机械工程,2011,22(9):1123-1127.
[17]Lin C J.Formulations of Support Vector Machines:A Note from an Optimization Point of View [J].Neural Computation, 2001,13(2):307-317.