Research on Fault Diagnosis Based on Neural Network Training by Case Injected GA Algorithm for Rotating Machinery
2014 ◽
Vol 602-605
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pp. 1737-1740
Keyword(s):
To diagnose the fault that occurs in rotating machinery, a neural network diagnosis method based on an improved GA algorithm is proposed. In this diagnosis method, a case injected idea is introduced to improve the strong global search capability of traditional GA algorithm; and then the improved GA algorithm is used to optimize the parameters of neural network, fulfilling the training of neural network. Simulation result indicates that, the proposed diagnosis method has a good practicability in the field of fault diagnosis for rotating machinery.
Keyword(s):
2002 ◽
Vol 35
(1)
◽
pp. 53-58
◽
Keyword(s):
2020 ◽
Vol 69
(4)
◽
pp. 1585-1593
◽
Keyword(s):
Keyword(s):
2014 ◽
Vol 540
◽
pp. 452-455
Keyword(s):