Electrical signals analysis of an asynchronous motor for bearing fault detection

2006 ◽  
Author(s):  
Ali Ibrahim ◽  
Mohamed El Badaoui ◽  
Francois Guillet ◽  
Widian Youssef
Keyword(s):  
Fault Detection ◽  
Asynchronous Motor ◽  
Electrical Signals ◽  
Bearing Fault ◽  
Bearing Fault Detection

Asynchronous Motor Bearing Fault Detection Methods

2011 ◽  
Vol 383-390 ◽  
pp. 5055-5058
Author(s):  
Li Ling Sun ◽  
Bao Long Zhang
Keyword(s):  
Fault Detection ◽  
Failure Probability ◽  
Asynchronous Motor ◽  
Detection Methods ◽  
Ball Bearings ◽  
Bearing Failure ◽  
Bearing Fault ◽  
Bearing Fault Detection ◽  
Deep Groove ◽  
Motor Bearing

Bearing, asynchronous deep groove ball bearings are widely used in induction motor field. Motor bearing failure probability is as high as 40% in asynchronous motor. It accounts for the largest proportion of failures in the motor. Therefore, people have been on studying motor bearing fault detection methods for further research. So far, people have studied a variety of modern detection methods.

Memory Residual Regression Autoencoder for Bearing Fault Detection

2021 ◽  
pp. 1-1
Author(s):  
Xin Huang ◽  
Guangrui Wen ◽  
Shuzhi Dong ◽  
Haoxuan Zhou ◽  
Zihao Lei ◽  
...  
Keyword(s):  
Fault Detection ◽  
Bearing Fault ◽  
Bearing Fault Detection

A physics-informed deep learning approach for bearing fault detection

2021 ◽  
Vol 103 ◽  
pp. 104295
Author(s):  
Sheng Shen ◽  
Hao Lu ◽  
Mohammadkazem Sadoughi ◽  
Chao Hu ◽  
Venkat Nemani ◽  
...  
Keyword(s):  
Deep Learning ◽  
Fault Detection ◽  
Learning Approach ◽  
Bearing Fault ◽  
Bearing Fault Detection
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