基于扭振分析方法的齿轮传动系统故障辨识

doi:10.3969/j.issn.1000-1158.2019.02.21

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Abstract A new method to measure the torsional vibration of gear shaft is proposed, though analyzing and studying the mathematical model and typical faults of gear, the superiority of torsional vibration analysis in fault diagnosis of gear system is theoretically demonstrated. To verify the correctness of theoretical analysis, a gear transmission system is set up to detect the torsional vibration signals of different axes under various operating states of the gear system by the permanent magnet rotary (angular) acceleration sensor. Then, the torsional vibration signals of the gear transmission system shaft and the vibration signal of the platform is decomposed by wavelet packet, and the energy of each node is extracted as the eigenvector. Finally, the fault identification is carried out with support vector machine (SVM) with radial basis function (RBF) as kernel function. The experimental result shows that the torsional vibration signal on the shaft is superior to the diagnostic results of the platform vibration signal in fault diagnosis of gear system.

Key words： metrology torsional vibration analysis rotary acceleration sensor fault diagnosis gear system wavelet packet decomposition support vector machines

Received: 27 December 2017 Published: 07 March 2019

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TB936

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	Articles by authors
	ZHANG Hui
	FENG Hao
	DING Li-jun
	ZHAO Hao

Cite this article:

ZHANG Hui,FENG Hao,DING Li-jun, et al. Gear Fault Identification Based on Torsional Vibration Analysis Method[J]. Acta Metrologica Sinica, 2019, 40(2): 300-305.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2019.02.21 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2019/V40/I2/300

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