Higher-order local projective algorithm and its application in rolling bearing fault diagnosis

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Journal of Vibration and Shock ›› 2018, Vol. 37 ›› Issue (3) : 147-152.

LÜ Yong, SHI Wei, YI Can-can

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Abstract

In order to deal with mass centroid selection of phase points in neighbor zones for the local projective noise reduction algorithm, the influences of neighbor zone mass centroid selection on noise reduction effects were analyzed. Higher-order polynomials were used to estimate neighbor zone mass centroid more accurately and better adapt to geometric shape of the attractor. In this way, the noise was further suppressed, noise reduction effects of the local projective method was improved. Numerical simulation signals were used to verify its effectiveness. The superiority of the higher-order local projective algorithm was revealed by comparing it with other nonlinear time series noise reduction methods based on phase space reconstruction. Finally, the proposed method was adopted in fault diagnosis of industrial fans’ bearings, fault features of rolling bearings were extracted successfully in frequency domain.

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higher-order local projection / noise reduction / mass centroid / nonlinear time series / fault diagnoses

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Lü Yong, SHI Wei, YI Can-can. Higher-order local projective algorithm and its application in rolling bearing fault diagnosis[J]. Journal of Vibration and Shock, 2018, 37(3): 147-152

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