Wavelet Neural Network Based on EKF Algorithm and its Application in Fault Diagnosis for Rotating Machinery
2014 ◽
Vol 602-605
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pp. 1741-1744
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It is difficult to realize an accurate and reliable diagnosis in the rotating machinery. To solve this problem, a Wavelet Neural Network (WNN) diagnosis model based on EKF algorithm is proposed. In the model, EKF algorithm is introduced to optimize the parameters of WNN, and then the built WNN model is used to diagnose the faults of the rotating machinery. The experiment shows that, the proposed model has a good diagnosis capability in the field of the rotating machinery.
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2012 ◽
Vol 241-244
◽
pp. 401-404
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2020 ◽
Vol 33
(10)
◽
pp. 2757-2769
◽
Keyword(s):
2019 ◽
Vol 252
◽
pp. 032039
Keyword(s):
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