行星齿轮箱耦合调制振动信号分离与故障诊断

陈伟; 王友仁; 孙灿飞; 孙权; 王俊

doi:10.13224/j.cnki.jasp.2018.05.011

行星齿轮箱耦合调制振动信号分离与故障诊断

doi: 10.13224/j.cnki.jasp.2018.05.011

南京航空航天大学自动化学院,南京 211106

基金项目: 国家自然科学基金(61371041) ；航空科学基金（2013ZD52055）；国家商用飞机制造工程技术研究中心创新基金（SAMC14-JS-15-051）；研究生创新基地（实验室）开放基金(kfjj20160305)

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出版历程
- 收稿日期: 2016-11-01
- 刊出日期: 2018-05-28

Coupled modulated vibration signal component separation andfault diagnosis of planetary gearbox

摘要

摘要: 针对故障状态下行星齿轮箱振动信号通常表现为稳态调制和冲击调制成分耦合问题,建立不同求解模型,提出耦合调制振动信号分离方法。应用稀疏全变分模型实现冲击调制成分分离,采用改进的非对称惩罚函数,根据峭度系数与方均根系数指标构建正则化参数优选策略,采用受控极小化(majorization-minimization, MM)方法进行模型求解；采用基追踪实现稳态调制成分分离。试验结果分析表明：该方法在噪声D为0.15的信号中能快速分离出微弱冲击调制成分,算法迭代次数少、收敛效果好。
- 行星齿轮箱 /
- 耦合调制 /
- 全变分模型 /
- 故障诊断 /
- 受控极小化
Abstract: Aiming at the status that planetary gearbox vibration signal is usually appeared as coupling problem of steady state modulation component and shock modulation component under fault condition, different solution models have been established and a new method for the separation of coupled modulated vibration signals has been proposed. Shock modulated component separation was realized by the application of sparse total variation model, using an improved asymmetric penalty function, according to a strategy of coefficient of kurtosis and selection of regularization parameters based on mean square index, using majorization-minimization (MM) to solve the model. Steady state component separation was achieved by using base tracking. Simulation and experimental results verify the effectiveness of the proposed method for the separation and separation of vibration signals of planetary gearbox in a strong noise environment. The results of experimental show that this method can quickly isolate the weak shock modulation components under the noise D of 0.15. The algorithm has fewer iteration times and better convergence effect.
- planetary gearbox /
- coupled modulation /
- total variation model /
- fault diagnosis /
- majorization-minimization

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参考文献(18)

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