Abstract Fatigue pitting and abrasive wear are the most common wear mechanisms in lubricated gears, and they have different effects on the gear transmission system. To develop effective methods for online gear wear monitoring, in this paper, a vibration-based wear mechanism identification procedure is proposed, and then the wear evolution is tracked using an indicator of vibration cyclostationarity (CS). More specifically, with consideration of the underlying physics of the gear meshing process, and the unique surface features induced by fatigue pitting and abrasive wear, the correlation between tribological features of the two wear phenomena and gearmesh-modulated second-order cyclostationary (CS2) properties of the vibration signal is investigated. Differently from previous works, the carrier frequencies (spectral content) of the gearmesh-cyclic CS2 components are analysed and used to distinguish and track the two wear phenomena. The effectiveness of the developed methods in wear mechanism identification and degradation tracking is validated using vibration data collected in two tests: a lubricated test dominated by fatigue pitting and a dry test dominated by abrasive wear. This development enables vibration-based techniques to be used for identifying and tracking fatigue pitting and abrasive wear.

中文翻译：

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使用振动信号的循环平稳特性来识别齿轮磨损机制和履带磨损演变

摘要 疲劳点蚀和磨粒磨损是润滑齿轮中最常见的磨损机制，它们对齿轮传动系统产生不同的影响。为了开发在线齿轮磨损监测的有效方法，本文提出了一种基于振动的磨损机制识别程序，然后使用振动循环平稳性 (CS) 指标跟踪磨损演变。更具体地说，考虑到齿轮啮合过程的基本物理原理，以及疲劳点蚀和磨料磨损引起的独特表面特征，两种磨损现象的摩擦学特征与齿轮啮合调制的二阶循环平稳 (CS2) 特性之间的相关性对振动信号进行了研究。不同于以往的作品，分析了齿轮啮合循环 CS2 分量的载波频率（频谱内容），并用于区分和跟踪两种磨损现象。使用在两个测试中收集的振动数据验证了所开发方法在磨损机制识别和退化跟踪方面的有效性：以疲劳点蚀为主的润滑测试和以磨料磨损为主的干式测试。这一发展使基于振动的技术能够用于识别和跟踪疲劳点蚀和磨料磨损。以疲劳点蚀为主的润滑试验和以磨料磨损为主的干试验。这一发展使基于振动的技术能够用于识别和跟踪疲劳点蚀和磨料磨损。以疲劳点蚀为主的润滑试验和以磨料磨损为主的干试验。这一发展使基于振动的技术能够用于识别和跟踪疲劳点蚀和磨料磨损。