基于EOE_LMD和阶次跟踪分析的变转速轴承故障诊断

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Abstract Vibration signal analysis is one of the important technical means in bearing fault diagnosis. The fault vibration signal of rolling bearing under the variable speed condition is a typical non-stationary signal, and there is also the problem of noise interference in the condition of small rotation frequency change, which makes the traditional time-frequency analysis technology difficult to apply. To solve this problem, a fault diagnosis method based on local mean decomposition (LMD) using empirical optimal envelope (EOE) and computing order tracking (COT) using piecewise linear interpolation was proposed. Firstly, the cut-off frequency and filtering order of the low-pass filter were determined to filter the vibration signal of the rolling bearing, and COT was performed on the filtered envelope signal to obtain the angular domain stationary envelope signal. Then, The local mean decomposition using empirical optimal envelope (EOE_LMD) was used to process the resampled stationary envelope signal to obtain several product function (PF) components. Finally, the information entropy and correlation coefficient of each component were calculated, and the appropriate component was selected for order analysis to judge the fault type of variable speed rolling bearing. The results show that the proposed method can eliminate the influence of speed fluctuation on fault feature extraction, and has good fault diagnosis ability for rolling bearings under different variable speed conditions.

Key words： rolling bearing empirical optimal envelope(EOE) local mean decomposition (LMD) computing order tracking (COT) variable speed conditions

Received: 22 March 2023 Published: 15 April 2024

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	ZHANG Chao
	MAIMAITIREYIMU Abulizi

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ZHANG Chao,MAIMAITIREYIMU Abulizi. Fault diagnosis of variable rotating speed rolling bearing based on EOE_LMD and order tracking analysis[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(7): 308-316.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I7/308

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