Incipient Fault Diagnosis for the Fastening Bolt Loosening of Limit Switch Based on Wavelet Transform and Support Vector Machine

2021 ◽  
Author(s):  
Ling Wang ◽  
Jianqiu Gao ◽  
Jing Pan ◽  
Yanfeng Gao ◽  
Binrui Wang
Keyword(s):  
Support Vector Machine ◽  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Support Vector ◽  
Incipient Fault ◽  
Bolt Loosening ◽  
Incipient Fault Diagnosis ◽  
Limit Switch

Incipient fault diagnosis of limit switch based on a ARMA model

Measurement ◽  
2019 ◽  
Vol 135 ◽  
pp. 473-480 ◽  
Author(s):  
Ling Wang ◽  
Jin Pan ◽  
Yanfeng Gao ◽  
Bingrui Wang ◽  
Kaixing Hong ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Arma Model ◽  
Incipient Fault ◽  
Incipient Fault Diagnosis ◽  
Limit Switch

On-line fault diagnosis model for locomotive traction inverter based on wavelet transform and support vector machine

2018 ◽  
Vol 88-90 ◽  
pp. 1274-1280 ◽  
Author(s):  
Mei Fei ◽  
Liu Ning ◽  
Miao Huiyu ◽  
Pan Yi ◽  
Sha Haoyuan ◽  
...  
Keyword(s):  
Support Vector Machine ◽  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Support Vector ◽  
On Line ◽  
Diagnosis Model

scholarly journals A new hybrid model of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine for fault diagnosis of gear pump

2020 ◽  
Vol 12 (5) ◽  
pp. 168781402092204
Author(s):  
Yan Lu ◽  
Zhiping Huang
Keyword(s):  
Support Vector Machine ◽  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Least Squares ◽  
Support Vector ◽  
Gear Pump ◽  
Machine Method ◽  
Support Vector Machine Method ◽  
Adaptive Dynamic ◽  
Empirical Wavelet Transform

Gear pump is the key component in hydraulic drive system, and it is very significant to fault diagnosis for gear pump. The combination of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine is proposed for fault diagnosis of gear pump in this article. Sparsity empirical wavelet transform is used to obtain the features of the vibrational signal of gear pump, the sparsity function is potential to make empirical wavelet transform adaptive, and adaptive dynamic least squares support vector machine is used to recognize the state of gear pump. The experimental results show that the diagnosis accuracies of sparsity empirical wavelet transform and adaptive dynamic least squares support vector machine are better than those of the empirical wavelet transform and adaptive dynamic least squares support vector machine method or the empirical wavelet transform and least squares support vector machine method.

scholarly journals Incipient Fault Diagnosis of Roller Bearing Using Optimized Wavelet Transform Based Multi-Speed Vibration Signatures

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 19442-19456 ◽  
Author(s):  
Zhiqiang Huo ◽  
Yu Zhang ◽  
Pierre Francq ◽  
Lei Shu ◽  
Jianfeng Huang
Keyword(s):  
Wavelet Transform ◽  
Fault Diagnosis ◽  
Roller Bearing ◽  
Incipient Fault ◽  
Vibration Signatures ◽  
Incipient Fault Diagnosis
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