Wavelet Neural Network Based on EKF Algorithm and its Application in Fault Diagnosis for Rotating Machinery

Xu Sheng Gan; Hua Ping Li; Hai Long Gao

doi:10.4028/www.scientific.net/AMM.602-605.1741

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605Wavelet Neural Network Based on EKF Algorithm and...

Wavelet Neural Network Based on EKF Algorithm and its Application in Fault Diagnosis for Rotating Machinery

Abstract:

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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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

1741-1744

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.1741

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Online since:

August 2014

Authors:

Xu Sheng Gan*, Hua Ping Li, Hai Long Gao

Keywords:

EKF Algorithm, Fault Diagnosis, Rotating Machinery, Wavelet Neural Network

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* - Corresponding Author

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