A Blind Source Separation Method for Multi-fault Modal Characteristic Signals of Rolling Bearings with Error Influences

doi:10.3969/j.issn.1000-1093.2018.07.021

Abstract

Abstract: The multi fault modal signals of rolling bearing are difficult to be separated due to the measurement errors and system errors. For this reason, a blind source separation method for multi-fault modal characteristic signals of rolling bearings under the influence of errors is proposed. A whitening matrix is obtained by preprocessing the fault signal, and then the fourth-order cumulant of the whitening matrix is calculated, and a fourth-order cumulant matrix is established. The eigenvectors corresponding to the larger K eigenvalues are taken as the new cumulant matrix by diagonalizing the cumulant matrix. The total least squares method is used to minimize the error function between the cumulant matrix and the target orthogonal matrix, thus estimating the fault source signal. Furtherly, the time domain correlation coefficient and the time-frequency domain bispectrum estimation are introduced to verify the feasibility and effectiveness of the proposed method. The results show that the signal derived from the proposed method has high correlation coefficient with the source signal, and the time-frequency domain bispectrum estimation is similar, so it is an effective method to separate multiple faults. Key

Key words: rollingbearing, multi-faultmodal, characteristicsignal, blindsourceseparation, jointapproximatediagonalization, totalleastsquares, errorinfluence

CLC Number:

TH133.33⁺1

HUANG Da-rong, CHEN Chang-sha, KE Lan-yan, ZHAO Ling, MI Bo, SUN Guo-xi. A Blind Source Separation Method for Multi-fault Modal Characteristic Signals of Rolling Bearings with Error Influences[J]. Acta Armamentarii, 2018, 39(7): 1419-1428.

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第39卷第7期2018 年7月兵工学报ACTA
ARMAMENTARIIVol.39No.7Jul.2018

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