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Feature Spectrum Extraction Algorithm for Rolling Bearings Based on Spectrogram and Constrained NMF
Author(s): Cui Delong, Zhang Qinghua, Xiao Ming, Wang Lei
Pages: 48-
52
Year: 2014
Issue:
5
Journal: Bearing
Keyword: rolling bearing; fault diagnosis; spectrogram; CNMF; feature spectrum;
Abstract: In order to solve the problem about sensitive parameters in signal feature spectrum extraction of traditional time-frequency analysis,a feature spectrum extraction algorithm is proposed based on spectrogram and Constrained Non-Negative Matrix Factorizations(CNMF).Firstly,the vibration signal is normalized,and then the short time Fou-rier analysis is carried out,obtaining the instantaneous parameters that represent original non-stationary signal charac-teristics.Secondly,the spectrogram is decomposed using CNMF.Finally,the feature spectrum of original vibration sig-nal is got by the basic matrix.The feasibility and effectively of the proposed method are verified by theoretical analysis, simulation and engineering experiment.
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