Roller Bearing Fault Diagnosis Method Using IRP and TD2DPCA

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (21) : 1-7.

Yue Yingjuan, Sun Gang, Cai Yanping

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Abstract

The vibration signals of bearings are usually non-stationary and it is difficult to extract the fault parameters in reality. Therefore we propose a fault diagnosis method that uses the Improved Recurrence Plots(IRP) and Two directional, Two dimensional Principal Component Analysis(TD2DPCA). Firstly, for Recurrence Plots(RP) threshold selection problem, IRP is proposed, then using IRP to bearing vibration acceleration signals to obtain IRP images; on this basis, to get parameters code matrixes, TD-2DPCA is used to bearing IRP images; finally using the classifier to the code matrix for pattern recognition in order to realize the automatic diagnosis of bearing IRP images. The proposed method is used in the four kinds of bearing vibration signals, the fault diagnosis accuracy up to 100%, the results showed that: the roller bearing fault diagnosis method using IRP and TD2DPCA has ability of adaptive bearing fault diagnosis, has good recognition accuracy and noise robustness, explored a new way for the bearing vibration diagnosis.

Key words

Bearing / Recurrence Plots / Improved Recurrence Plots / Two directional Two dimensional Principal Component Analysis / Fault Diagnosis.

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Yue Yingjuan, Sun Gang, Cai Yanping. Roller Bearing Fault Diagnosis Method Using IRP and TD2DPCA[J]. Journal of Vibration and Shock, 2017, 36(21): 1-7

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