基于MCKD和改进IESFOgram相结合的行星轴承外圈故障诊断

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Abstract In order to solve the problems that the vibration signal transmission path in the planetary gearboxes has time-varying and mutual coupling of vibration signals, a fault feature extraction method of planet bearing outer-race based on the maximum correlation kurtosis deconvolution (MCKD) and improved envelope spectrum via feature optimisation-gram (IESFOgram) were proposed.Firstly, the MCKD was used to suppress the interference of background noise and components outside the filtering band, and enhance the signal to noise ratio (SNR) of the component related to the planet bearing outer-race fault.Then, the planet bearing outer-race fault component could be extracted by the IESFOgram, and the optimal demodulation frequency could be determined based on the maximum value of sum of each order harmonic frequency of the characteristic frequency and the sideband integration ratio.Finally, fault features were extracted by envelope spectrum analysis.By analyzing measured signals of a planet bearing outer-race fault, it was proved that this method can effectively extract fault features of planet bearings.

Key words： planet bearings deconvolution of maximum correlation kurtosis IESFOgram

Received: 16 April 2020 Published: 28 October 2021

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	Articles by authors
	CHEN Xin
	GUO Yu
	WU Xing
	FAN Jiawei
	LIN Yun

Cite this article:

CHEN Xin,GUO Yu,WU Xing, et al. Planet bearing outer-race fault diagnosis based on MCKD and improved IESFOgram[J]. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(20): 200-206.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2021/V40/I20/200

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