基于多变量多尺度模糊熵的行星齿轮箱故障诊断

Multivariate multiscale fuzzy entropy based planetary gearbox fault diagnosis

行星齿轮箱被广泛用于风电、直升机和工程机械等大型复杂机械装备中。当行星齿轮箱发生故障时,振动信号往往表现出非线性和非平稳特征,多尺度熵理论能够有效地衡量振动信号的非线性和复杂性变化。同时为了尽可能地利用多通道振动信号信息来提高故障诊断的效率,将评价同步多通道数据多变量复杂度的多变量多尺度熵理论引入到行星齿轮箱故障诊断。针对其统计特征稳定性差的问题,提出了多变量多尺度模糊熵,并在基础上,提出了一种新的行星齿轮箱故障诊断方法。将提出的方法应用于行星齿轮箱故障试验数据分析,并与现有方法进行对比,结果表明了所提方法的有效性和优越性。

Planetary gearbox has been widely used in wind power,helicopter,construction machinery and other large complex equipments. The vibration signals of a planetary gearbox are often nonlinear and nonstationary when the gearbox works with failure. The multiscale entropy theory has been widely used to measure the complexity of mechanical vibration signals. Meanwhile,the multivariate multiscale entropy (MMSE) that evaluates the multivariate complexity of synchronous multi-channel data is introduced to the fault diagnosis of planetary gearbox for using the multi-channel vibration information for improving the efficiency of fault diagnosis as much as possible. Aiming at the poor statistical stability of MMSE,the multivariate multiscale fuzzy entropy (MMFE) was proposed and based on this,a new fault diagnosis method for planetary gearboxes was proposed. Finally,the proposed method was applied to the experimental data analysis of a practical planetary gearbox and the results show its effectiveness and superiority.