Experimental application of stochastic resonance based on Wood-Saxon potential on fault diagnosis of bearing and planetary gearbox

被引:4
作者
Chi, Kuo [1 ]
Kang, Jianshe [1 ]
Zhang, Xinghui [2 ]
Xiao, Shungen [3 ]
Die, Xupeng [1 ]
机构
[1] Army Engn Univ PLA, Shijiazhuang Branch, Shijiazhuang 050000, Hebei, Peoples R China
[2] Mech Engn Coll, Shijiazhuang 050003, Hebei, Peoples R China
[3] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
关键词
Fault diagnosis; Bearing; Planetary gearbox; Stochastic resonance; Wood-Saxon potential; TRANSFORM;
D O I
10.1007/s40430-019-1999-x
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Bearing and planetary gearbox are important for rotating machinery. However, their faults often cause the stop of the machinery or even fatal casualties. Vibration signal contains the status information of the rotating machinery, which is covered by the strong noise. Stochastic resonance (SR) is a noise-benefit phenomenon, which can detect the weak fault characteristic signal from the vibration signal under strong noise. To detect the fault of bearing or planetary gearbox effectively, SR based on Wood-Saxon potential which only has on potential well called WSSR is studied, and a novel fault diagnosis strategy based on WSSR is proposed. The effect of every WSSR parameter, anti-noise capability of WSSR under different noise intensities and optimal frequency response of WSSR under different driving frequency are analyzed by simulation. To verify the effectiveness of our proposed fault diagnosis strategy based on WSSR, three preset fault tests of bearing and two of planetary gearbox are carried out. Bi-stable SR is also used for comparison. The results show that our proposed fault diagnosis strategy is more effective for the fault detection of bearing and planetary gearbox than bi-stable SR.
引用
收藏
页数:11
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[21]   Nonlinear dynamic response of reciprocating compressor system with rub-impact fault caused by subsidence [J].
Xiao, Shungen ;
Liu, Shulin ;
Jiang, Feng ;
Song, Mengmeng ;
Cheng, Shouguo .
JOURNAL OF VIBRATION AND CONTROL, 2019, 25 (11) :1737-1751
[22]   Improved singular spectrum decomposition-based 1.5-dimensional energy spectrum for rotating machinery fault diagnosis [J].
Yan, Xiaoan ;
Jia, Minping .
JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2019, 41 (01)
[23]   An investigation of two-dimensional parameter-induced stochastic resonance and applications in nonlinear image processing [J].
Yang, Yibing ;
Jiang, Zhongping ;
Xu, Bohou ;
Repperger, Daniel W. .
JOURNAL OF PHYSICS A-MATHEMATICAL AND THEORETICAL, 2009, 42 (14)
[24]   On the Use of a Single Piezoelectric Strain Sensor for Wind Turbine Planetary Gearbox Fault Diagnosis [J].
Yoon, Jae ;
He, David ;
Van Hecke, Brandon .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (10) :6585-6593
[25]   Enhanced detection of rolling element bearing fault based on stochastic resonance [J].
Zhang Xiaofei ;
Hu Niaoqing ;
Cheng Zhe ;
Hu Lei .
CHINESE JOURNAL OF MECHANICAL ENGINEERING, 2012, 25 (06) :1287-1297
[26]   Weak feature enhancement in machinery fault diagnosis using empirical wavelet transform and an improved adaptive bistable stochastic resonance [J].
Zhang, Xin ;
Wang, Jiaxu ;
Liu, Zhiwen ;
Wang, Jinglin .
ISA TRANSACTIONS, 2019, 84 :283-295