A new fault diagnosis approach for analog circuits based on spectrum image and feature weighted kernel Fisher discriminant analysis

2018 ◽  
Vol 89 (7) ◽  
pp. 074702 ◽  
Author(s):  
Wei He ◽  
Yigang He ◽  
Chaolong Zhang
2012 ◽  
Vol 442 ◽  
pp. 262-266 ◽  
Author(s):  
Yan You Chai ◽  
Xiu Yan Peng ◽  
Xin Jiang Man

In order to guarantee the normal operation of marine, an effective fault diagnosis model need to be established to determine the reason causing the fault of marine diesel engine. According to the problem of fault diagnosis of marine diesel engine, by using the methods of kernel fisher discriminant analysis, a method solving fault diagnosis of marine diesel engine is proposed. Firstly, kernel fisher discriminant analysis was done to the historical fault set and the parameters were determined by grid method. In this way, the fault diagnosis model of marine diesel engine was built. Then, this model was used to diagnosis the actual fault of marine diesel engine. The effect of fault diagnosis in fuel injection system of MAN B&W 10L90MC marine diesel engine verified the effectiveness of this method. Therefore, the method proposed by this paper has certain practical significance towards the fault diagnosis of marine diesel engine.


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