Fault diagnosis of diesel generator set based on deep believe network

Author(s):  
Qinsheng Yun ◽  
Chuanqing Zhang ◽  
Tianyuan Ma
2021 ◽  
pp. 146808742110689
Author(s):  
Bin Chen ◽  
Yunbo Hu ◽  
Yibin Guo ◽  
Zhijun Shuai ◽  
Chongpei Liu ◽  
...  

The coupling between the crankshaft and the camshaft is neglected before in fault diagnosis which may lead to incomplete fault information. In this paper, a new torsional coupling model of a diesel generator transmission system is proposed for fault diagnosis. The natural frequency and forced torsional vibration response of the model are obtained by the system matrix method and Newmark-β method. For the system without considering the lumped mass of camshafts, some key natural frequencies are lost. The vibration dynamics are compared for the transmission system with and without the new coupling model. And important frequency responses are missed in the spectrums of the forced torsional vibration without the new coupling model. Finally, the new coupling model is implemented in fault diagnosis and the cause of an unusual vibration fault is deduced in the simulation, which confirms the feasibility of the proposed model in fault diagnosis.


2011 ◽  
Vol 460-461 ◽  
pp. 461-466
Author(s):  
Yan Ping Cai ◽  
Ai Hua Li ◽  
Yan Ping He ◽  
Tao Wang

Aiming at the need of on-line performance monitoring and fault diagnosis for diesel generator system, an on-line data acquisition, analysis and diagnosis system based on portable industrial computer, different function sensors and PCL-818HD data acquisition card was constructed. Its design of hardware, software and its test and diagnosis method were given in this paper. Through the vibration signal analysis and on-line fault diagnosis example of generator system, it shows that the diagnosis system can realize on-line performance monitoring and fault diagnosis for diesel generator system.


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