A novel intelligent fault diagnosis method for electrical equipment using infrared thermography

2015 ◽  
Vol 73 ◽  
pp. 29-35 ◽  
Author(s):  
Hui Zou ◽  
Fuzhen Huang
Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Yongbo Li ◽  
Xianzhi Wang ◽  
Shubin Si ◽  
Xiaoqiang Du

A novel systematic framework, infrared thermography- (IRT-) based method, for rotating machinery fault diagnosis under nonstationary running conditions is presented in this paper. In this framework, IRT technique is first applied to obtain the thermograph. Then, the fault features are extracted using bag-of-visual-word (BoVW) from the IRT images. In the end, support vector machine (SVM) is utilized to automatically identify the fault patterns of rotating machinery. The effectiveness of proposed method is evaluated using lab experimental signal of rotating machinery. The diagnosis results show that the IRT-based method has certain advantages in classification rotating machinery faults under nonstationary running conditions compared with the traditional vibration-based method.


2019 ◽  
Vol 158 ◽  
pp. 6132-6138 ◽  
Author(s):  
Fuchang Han ◽  
Zhicong Chen ◽  
Lijun Wu ◽  
Chao Long ◽  
Jinling Yu ◽  
...  

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