scholarly journals Fault diagnosis method based on multi‐source information fusion for weak interturn short circuit in synchronous condensers

2021 ◽  
Author(s):  
Minghan Ma ◽  
Pengkang He ◽  
Yonggang Li ◽  
Hongshuo Li ◽  
Meng Jiang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Short Circuit ◽  
Source Information ◽  
Diagnosis Method ◽  
Synchronous Condensers

An Early Battery Fault Diagnosis Method Based on Multi-Source Information Fusion Theory

2021 ◽  
Author(s):  
Jinglun Li ◽  
Yunlong Shang ◽  
Xin Gu ◽  
Bin Duan ◽  
Yongzhe Kang ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Source Information ◽  
Diagnosis Method ◽  
Fusion Theory

Fault Diagnosis of Brake Train based on Multi-Source Information Fusion

2021 ◽  
Author(s):  
Yongze Jin ◽  
Guo Xie ◽  
Xinhong Hei ◽  
Haitao Duan ◽  
Wenbin Chen ◽  
...  
Keyword(s):  
Fault Diagnosis ◽  
Information Fusion ◽  
Source Information

Research on Fault Diagnosis Strategy of Belt Conveyor

2013 ◽  
Vol 312 ◽  
pp. 607-610 ◽  
Author(s):  
Wei Hu ◽  
Ou Li
Keyword(s):  
Fault Diagnosis ◽  
Set Theory ◽  
Information Fusion ◽  
Accurate Diagnosis ◽  
Experimental Result ◽  
Fusion Center ◽  
Fusion Technology ◽  
Fuzzy Information ◽  
Belt Conveyor ◽  
Diagnosis Method

In view of the inadequacy of the fault diagnosis of the belt conveyor, the paper takes advantage of the application of fuzzy information fusion technology to fault diagnosis, based on the fuzzy set theory, a fault diagnosis method based on Multi-sensor fuzzy information fusion is developed. The obtain information of many sensors will fuzzy, again its fusion based on the synthetic operation and decision-making rules of the fusion center, in order to gain the accurate state estimation and judgment of belt conveyor. The experimental result indicates that the credibility of diagnosis is improved markedly and the uncertainty is reduced significantly after the multi-sensor fuzzy information fusion, the accurate diagnosis to belt conveyor is realized.

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