Variable Speed Estimation for Wheel-Bearings with STFT and BP Neural Network

Yuan Zhou; Bin Chen; Bao Cheng Gao; Si Jie Zhang

doi:10.4028/www.scientific.net/AMR.945-949.1112

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 945-949Variable Speed Estimation for Wheel-Bearings with...

Variable Speed Estimation for Wheel-Bearings with STFT and BP Neural Network

Abstract:

For the variable speed estimation of wheel-bearings in strong background noise, a novel method with the short-time Fourier transform and BP neural network (STFT-BPNN) is proposed. In the method, it calculates the time-frequency spectrum with STFT technique. Then the instantaneous frequency is estimated by peak detection. Taking the instantaneous frequencies as the input vectors, the BP neural network is trained to fit the discrete instantaneous frequencies. The effectiveness of proposed method is demonstrated by simulation. Experimental results show that proposed method provides better performance on variable speed estimation for wheel-bearings.

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Periodical:

Advanced Materials Research (Volumes 945-949)

Pages:

1112-1115

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.945-949.1112

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Online since:

June 2014

Authors:

Yuan Zhou, Bin Chen*, Bao Cheng Gao, Si Jie Zhang

Keywords:

BP Neural Network (BPNN), STFT, Variable Speed, Wheel-Bearing

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* - Corresponding Author

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