Recent progress on decoupling diagnosis of hybrid failures in gear transmission systems using vibration sensor signal: A review

被引:123
作者
Li, Zhixiong [1 ,2 ,3 ,4 ]
Jiang, Yu [1 ,2 ,4 ]
Hu, Chao [5 ]
Peng, Z. [4 ]
机构
[1] China Univ Min & Technol, Sch Mechatron Engn, Xuzhou 221116, Peoples R China
[2] China Univ Min & Technol, Jiangsu Key Lab Mine Mech & Elect Equipment, Xuzhou 221116, Peoples R China
[3] Tsinghua Univ, State Key Lab Tribol, Beijing 100000, Peoples R China
[4] Univ New S Wales, Sch Mech & Mfg Engn, Sydney, NSW 2052, Australia
[5] Iowa State Univ, Dept Mech Engn, Ames, IA 50011 USA
关键词
Gear transmission systems; Hybrid faults; Decoupling diagnosis; Signal processing; Multi-sensor system; Sensor fusion; BOUNDED COMPONENT ANALYSIS; EMPIRICAL MODE DECOMPOSITION; TIME-FREQUENCY ANALYSIS; FAULT-DIAGNOSIS; ACOUSTIC-SIGNALS; FEATURE-EXTRACTION; BLIND SEPARATION; PHASE DEMODULATION; WAVELET TRANSFORM; ROTATING MACHINE;
D O I
10.1016/j.measurement.2016.04.036
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Reliable recognition of fault type and assessment of fault severity is essential for decision making in condition-based maintenance of gear transmission systems. In engineering practice, the gear systems are often subject to hybrid faults on the same component or different components. The concurrence of multiple faults makes the fault detection, in particular, the examination of both the fault types and severities, more challenging. Recently, this research area has been recognized as an important direction. A logic solution is to decouple the hybrid faults. This paper reviews various aspects of recent research in decoupling diagnosis of hybrid faults in gear transmission systems, and discusses the techniques used for gearbox hybrid faults decoupling. The general fault detection technologies for gearboxes are also briefly summarized. A potential methodology based on the bounded component analysis (BCA) for hybrid faults decoupling is discussed. Possible future research trends of gearbox hybrid faults decoupling diagnosis are suggested. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:4 / 19
页数:16
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