张郑武, 冯志鹏, 陈小旺. 基于高阶同步压缩变换的行星齿轮箱声音信号共振频带特征提取[J]. 工程科学学报, 2020, 42(8): 1048-1054. DOI: 10.13374/j.issn2095-9389.2019.07.18.002
引用本文: 张郑武, 冯志鹏, 陈小旺. 基于高阶同步压缩变换的行星齿轮箱声音信号共振频带特征提取[J]. 工程科学学报, 2020, 42(8): 1048-1054. DOI: 10.13374/j.issn2095-9389.2019.07.18.002
ZHANG Zheng-wu, FENG Zhi-peng, CHEN Xiao-wang. Acoustic signal analysis of the resonance frequency region for planetary gearbox fault diagnosis based on high-order synchrosqueezing transform[J]. Chinese Journal of Engineering, 2020, 42(8): 1048-1054. DOI: 10.13374/j.issn2095-9389.2019.07.18.002
Citation: ZHANG Zheng-wu, FENG Zhi-peng, CHEN Xiao-wang. Acoustic signal analysis of the resonance frequency region for planetary gearbox fault diagnosis based on high-order synchrosqueezing transform[J]. Chinese Journal of Engineering, 2020, 42(8): 1048-1054. DOI: 10.13374/j.issn2095-9389.2019.07.18.002

基于高阶同步压缩变换的行星齿轮箱声音信号共振频带特征提取

Acoustic signal analysis of the resonance frequency region for planetary gearbox fault diagnosis based on high-order synchrosqueezing transform

  • 摘要: 建立了非平稳运行工况下行星齿轮箱共振频带内的声音信号解析模型,揭示了齿轮故障特征在声音信号共振频带内的分布规律。根据共振频率不随转速变化的特点定位了齿轮箱共振频率,为在共振频带内提取齿轮故障特征奠定基础。针对传统时频分析方法时频分辨率低的缺陷,研究了基于高阶同步压缩变换的时变故障特征提取方法。通过数值仿真和实验信号分析,验证了所提出的声音信号模型与行星齿轮箱故障特征分布规律的正确性,以及利用高阶同步压缩变换方法提取共振频带内行星齿轮箱故障特征的有效性。

     

    Abstract: Planetary gearboxes have one or several planet gears rotating around the sun gear while revolving along their axle. This unique gear structure results in the simultaneous meshing of the planet gear with both sun and ring gears. Because of the high transmission ratio and large bearing capacity of its compact structure, planetary gearboxes have been extensively used in a variety of industrial applications. Therefore, planetary gearbox fault diagnosis is essential to ensure safe and efficient industrial manufacturing. Acoustic signal analysis provides an effective and noninvasive method for detecting potential faults in the planetary gearbox. However, the theoretical foundation of planetary gearbox fault signatures in acoustic signals is ambiguous. In this work, the planetary gearbox acoustic signal model of the resonance frequency region under the nonstationary state is structured by amplitude and frequency modulation, and the gear fault characteristics of the acoustic signals are explicitly derived. Given that resonance frequency is independent of rotational speed, the resonance frequency can be distinguished from speed-related frequency components. This lays the foundation for extracting the gear fault characteristics of the resonance frequency region. Moreover, the planetary gearbox often runs under time-varying speed conditions, and the fault frequency components are time-varying. To overcome the limitations of the traditional time–frequency analysis method in limited time–frequency resolution or cross-term interferences, the appropriate time–frequency analysis method is essential. In this work, the high-order synchrosqueezing transform is exploited to identify the time-varying fault characteristics of the planetary gearbox acoustic signal. Owing to the step of squeezing the energy distributed along instantaneous frequency in frequency direction, time–frequency representation by synchrosqueezing transform achieves a high time–frequency resolution. The high-order interpretation of instantaneous frequency further improves the capability to capture the time–frequency details. The acoustic signal model and corresponding fault characteristics of the planetary gearbox in the resonance frequency region are verified by both numerical simulations and laboratory experiments. The gear defect within the planetary gearbox is successfully diagnosed via the high-order synchrosqueezing transform.

     

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