Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis
Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis
复制标题
基于本征时标分解的联合幅频解调分析行星齿轮箱故障诊断
DOI：
10.1016/j.ymssp.2015.11.024
复制
发表时间：
2016-05-01
影响因子：
8.4
通讯作者：
Zuo, Ming J.
中科院分区：
文献类型：
--
作者：
Feng, Zhipeng;Lin, Xuefeng;Zuo, Ming J.
行星齿轮箱振动信号调制复杂，边带结构复杂，故障特征频率识别困难。本征时间尺度分解具有对信号变化的适应性强、计算复杂度低、抑制模态混叠和保持瞬态信号时域信息的能力强、适用于复杂多分量信号的单分量分解等优点。针对多调制源下行星齿轮箱的故障诊断问题，利用固有时间尺度分解的优点，提出了一种幅频联合解调分析方法。首先将信号分解为一系列单分量固有旋转分量。然后选取瞬时频率在齿轮啮合频率附近波动的信号或其谐波作为敏感分量。然后，对敏感元件的瞬时振幅和瞬时频率进行傅里叶变换，分别得到振幅和频率解调谱。最后，通过匹配振幅和频率解调频谱中的峰值与齿轮故障的理论特征频率，诊断行星齿轮箱故障。通过数值仿真信号验证了该方法的有效性，并通过行星齿轮箱的实验信号进一步验证了该方法的有效性。对太阳轮、行星轮和齿圈的局部故障进行了诊断，证明了该方法的有效性。(C)2015爱思唯尔有限公司版权所有。
Planetary gearbox vibration signals feature complex modulations, thus leading to intricate sideband structure and resulting in difficulty in fault characteristic frequency identification. Intrinsic time-scale decomposition has unique merits, such as high adaptability to changes in signals, low computational complexity, good capability to suppress mode mixing and to preserve temporal information of transients, and excellent suitability for mono-component decomposition of complex multi-component signals. In order to address the issue with planetary gearbox fault diagnosis due to the multiple modulation sources, a joint amplitude and frequency demodulation analysis method is proposed, by exploiting the merits of intrinsic time-scale decomposition. The signal is firstly decomposed into a series of mono-component proper rotational components. Then the one with its instantaneous frequency fluctuating around the gear meshing frequency or its harmonics is selected as the sensitive component. Next, Fourier transformation is applied to the instantaneous amplitude and instantaneous frequency of the sensitive component to obtain the amplitude and frequency demodulated spectra respectively. Finally, a planetary gearbox fault is diagnosed by matching the peaks in the amplitude and frequency demodulated spectra with the theoretical gear fault characteristic frequencies. The proposed method is illustrated by a numerical simulated signal, and further validated by lab experimental signals of a planetary gearbox. The localized faults of sun, planet and ring gears are diagnosed, showing the effectiveness of the method. (C) 2015 Elsevier Ltd. All rights reserved.