Time-Frequency demodulation analysis via Vold-Kalman filter for wind turbine planetary gearbox fault diagnosis under nonstationary speeds
Time-Frequency demodulation analysis via Vold-Kalman filter for wind turbine planetary gearbox fault diagnosis under nonstationary speeds
复制标题
基于Vold-Kalman滤波器的时频解调分析用于风力发电机行星齿轮箱非平稳速度下的故障诊断
DOI：
10.1016/j.ymssp.2019.03.036
复制
发表时间：
2019-08-01
影响因子：
8.4
通讯作者：
Zhang, Dong
中科院分区：
文献类型：
--
作者：
Feng, Zhipeng;Zhu, Wenying;Zhang, Dong
风力发电机行星齿轮箱振动信号复杂且时变强，是非平稳转速下的故障诊断是一个具有挑战性的课题。为了解决时变齿轮故障特征，需要一种高质量的时频分析方法。基于希尔伯特变换和分析信号方法的时频表示具有良好的时频分辨率，并且不受外部（交叉项）和内部（自项）干扰，从而为非平稳信号分析提供了有效的方法。然而，它们依赖于精确的瞬时频率估计，因此受到单分量约束。为了解决这一问题，利用Vold-Kalman滤波器将旋转机械的多分量振动信号分解成单分量谐波的能力，构建时频表示。即便如此，原始行星齿轮箱振动信号在联合时频域中固有的复杂时变侧带仍然是一个障碍，因为它们与齿轮故障频率没有直接联系。为解决这一问题，受齿轮故障频率直接由幅频调制频率表示的启发，将提出的时频分析方法进一步扩展为生成时变幅频解调频谱。通过数值仿真验证了该方法的有效性，并利用某风力发电机行星齿轮箱的实验信号对该方法进行了验证。在非平稳转速下，对齿轮的局部故障和分布故障都进行了诊断。(C) 2019 Elsevier Ltd.版权所有。
Wind turbine planetary gearbox fault diagnosis under nonstationary speeds is a challenging topic, because of the high complexity and strong time variability of vibration signals. In order to resolve time-varying gear fault features, a quality time-frequency analysis method is in demand. Time-frequency representations based on Hilbert transform and analytic signal approach have fine time-frequency resolution, and are free from both outer (cross-term) and inner (auto-term) interferences, thus providing an effective approach to nonstationary signal analysis. However, they rely on accurate instantaneous frequency estimation, and thereby are subject to mono-component constraint. To address this issue, Vold-Kalman filter is exploited to construct time-frequency representation, by virtue of its capability to decompose the multi-component vibration signal of rotating machinery into constituent mono-component harmonic waves. Even so, intricate time-varying sidebands inherent with raw planetary gearbox vibration signals in joint time-frequency domain are still a hurdle, because they do not link to gear fault frequency directly. To solve this problem, the proposed time-frequency analysis method is further extended to generate time-varying amplitude and frequency demodulated spectra, inspired by the fact that gear fault frequency is manifested straight by the amplitude and frequency modulating frequencies. The proposed method is illustrated by numerical simulation, and is further validated using lab experimental signals of a wind turbine planetary gearbox. Both the localized and distributed faults on gears are successfully diagnosed under nonstationary speeds. (C) 2019 Elsevier Ltd. All rights reserved.