行星变速箱退化特征参数提取方法

研究行星变速箱的退化特征参数提取方法对于机械系统的故障预测与健康管理(prognostic and health management,简称PHM)具有重要意义。为了分析行星变速箱的退化特性,首先,在峭度谱信号处理和构图方法的基础上提出改进型峭度谱,在特征参数提取过程中用均方根(root mean square,简称RMS)代替峭度,将其称为RMS谱,RMS谱能够同时从时域和频域分析系统退化过程中各个频带RMS的变化趋势;其次,在峭度谱原理的基础上研究RMS谱和RMS归一化谱的原理,并用公开的轴承数据解释新提出方法的数据处理流程;最后,用新提出方法对行星变速箱的退化过程进行详细的研究,发现不同频带的RMS趋势不同,而且有些频带能比较稳定的反映退化过程,有些频带对加速退化阶段比较敏感,这些结论对提取适合行星变速箱故障预测的退化特征参数很有参考价值。

Method of Planetary Gearbox Degradation Feature Extraction

Planetary transmission system has been widely used in modern industry, and study on planetary gearbox degradation feature analysis method has important significance for mechanical system prognostics and health management (PHM). In the light of the degradation characteristic of planetary gearbox, root means square (RMS) spectrum is proposed based on the signal processing method and composition way of Kurtogram. RMS is calculated as the characteristic index instead of kurtosis in RMS spectrum. As a result, RMS spectrum presents the RMS changes of every frequency band of time domain and frequency domain in the system degradation process. The principles and applications of RMS spectrum and RMS normalized spectrum are described by bearing experimental data examples. A detailed study of planetary gearbox degradation process characteristics analysis based on the RMS spectrum is expressed in the case study. There are some conclusions obtained from the case study, such as the RMS changes are not the same for different frequency bands; Some frequency bands can stably reflect degradation process, whilst some frequency bands are sensitive to the acceleration of the degradation stage. These conclusions are very meaningful to the extracting planetary gearbox degradation feature index in degradation prediction.