Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

被引:105
作者
Feng, Ke [1 ]
Smith, Wade A. [1 ]
Borghesani, Pietro [1 ]
Randall, Robert B. [1 ]
Peng, Zhongxiao [1 ]
机构
[1] Univ New South Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia
基金
澳大利亚研究理事会;
关键词
Fatigue pitting; Abrasive wear; Cyclostationary; Vibration signal; Wear mechanism identification; Wear monitoring; FAULT-DIAGNOSIS; SURFACE FATIGUE; PLANETARY GEAR; SPUR; TEETH; PREDICTION; CONTACTS; FAILURE; DAMAGE; CRACK;
D O I
10.1016/j.ymssp.2020.107258
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Fatigue pitting and abrasive wear are the most common wear mechanisms in lubricated gears, and they have different effects on the gear transmission system. To develop effective methods for online gear wear monitoring, in this paper, a vibration-based wear mechanism identification procedure is proposed, and then the wear evolution is tracked using an indi-cator of vibration cyclostationarity (CS). More specifically, with consideration of the underlying physics of the gear meshing process, and the unique surface features induced by fatigue pitting and abrasive wear, the correlation between tribological features of the two wear phenomena and gearmesh-modulated second-order cyclostationary (CS2) properties of the vibration signal is investigated. Differently from previous works, the carrier frequencies (spectral content) of the gearmesh-cyclic CS2 components are analysed and used to distinguish and track the two wear phenomena. The effectiveness of the developed methods in wear mechanism identification and degradation tracking is validated using vibration data collected in two tests: a lubricated test dominated by fatigue pitting and a dry test dominated by abrasive wear. This development enables vibration-based techniques to be used for identifying and tracking fatigue pitting and abrasive wear. (c) 2020 Elsevier Ltd. All rights reserved.
引用
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页数:24
相关论文
共 46 条
[41]   Gear tooth stiffness reduction measurement using modal analysis and its use in wear fault severity assessment of spur gears [J].
Yesilyurt, I ;
Gu, FS ;
Ball, AD .
NDT & E INTERNATIONAL, 2003, 36 (05) :357-372
[42]   Features for Fault Diagnosis and Prognosis of Gearbox [J].
Zhang, Xinghui ;
Kang, Jianshe ;
Zhao, Jinsong ;
Cao, Duanchao .
2013 PROGNOSTICS AND HEALTH MANAGEMENT CONFERENCE (PHM), 2013, 33 :1027-1032
[43]  
ZHANG YB, 2015, IEEE INT VAC ELECT C
[44]   Cyclostationarity analysis for gearbox condition monitoring: Approaches and effectiveness [J].
Zhu, ZK ;
Feng, ZH ;
Kong, FR .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2005, 19 (03) :467-482
[45]   Determination of the State of Wear of High Contact Ratio Gear Sets by Means of Spectrum and Cepstrum Analysis [J].
Ziaran, Stanislav ;
Darula, Radoslav .
JOURNAL OF VIBRATION AND ACOUSTICS-TRANSACTIONS OF THE ASME, 2013, 135 (02)
[46]   Gearbox condition estimation using cyclo-stationary properties of vibration signal [J].
Zimroz, Radoslaw ;
Bartelmus, Walter .
DAMAGE ASSESSMENT OF STRUCTURES VIII, 2009, 413-414 :471-478