Ball Bearing Fault Diagnosis Using Mutual Information and Walsh–Hadamard Transform

2019 ◽  
pp. 607-616
Author(s):  
Vipul K. Dave ◽  
Vinay Vakharia ◽  
Sukhjeet Singh
Keyword(s):  
Fault Diagnosis ◽  
Mutual Information ◽  
Ball Bearing ◽  
Hadamard Transform ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Walsh Hadamard Transform

scholarly journals Mutual Information-Assisted Wavelet Function Selection for Enhanced Rolling Bearing Fault Diagnosis

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ruqiang Yan ◽  
Mengxiao Shan ◽  
Jianwei Cui ◽  
Yahui Wu
Keyword(s):  
Fault Diagnosis ◽  
Mutual Information ◽  
Vibration Analysis ◽  
Quantitative Measure ◽  
Rolling Bearing ◽  
Test System ◽  
Wavelet Function ◽  
Bearing Fault ◽  
Bearing Fault Diagnosis ◽  
Function Selection

This paper presents an enhanced rolling bearing fault diagnosis approach, based on optimized wavelet packet transform (WPT) assisted with quantitative wavelet function selection. Mutual information is utilized as a quantitative measure to select the most suitable wavelet function for the WPT-based vibration analysis. Energy features from coefficients of an optimal set of orthogonal wavelet subspaces which resulted from the WPT-based vibration analysis are input to different classifiers. The fault states of the rolling bearings can then be identified. Experiment studies conducted on a rolling bearing test system have verified the effectiveness of the proposed approach for rolling bearing fault diagnosis.

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