局部均值分解和排列熵在行星齿轮箱故障诊断中的应用

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Abstract Nowadays planetary gearboxes have been widely used in military and civilian equipment, research on fault diagnosis of planetary gearboxes is very meaningful. Aimed at the nonlinearity and unstableness of planetary gearboxes vibration, as well as the weakness of fault feature during its operation, this paper proposes fault diagnosis method for planetary gearboxes based on local mean decomposition (LMD) and permutation entropy. The vibration signal under different conditions can be adaptively decomposed into series of product functions (PFs) by LMD, then the permutation entropy of the PF including fault information can be computed, thus fault types can be identified. Finally, three types of vibration signals of planetary gearboxes test are collected , namely normal state , sun gear having a cracked tooth and planet gear having a cracked tooth, then these vibration signals are decomposed by LMD and corresponding permutation entropy is computed, by which proves the effectiveness of method proposed.

Key words： planetary gearboxes LMD permutation entropy fault diagnosis

Received: 01 April 2016 Published: 28 August 2017

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2017/V36/I17/55

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