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首页> 外文会议>AHS 59th Annual Forum Proceedings Vol.1 May 6-8, 2003 Phoenix, Arizona >Helicopter Transmission Diagnostics using Constrained Adaptive Lifting
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Helicopter Transmission Diagnostics using Constrained Adaptive Lifting

机译：使用约束自适应提升的直升机传输诊断

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This paper presents a methodology for detecting and diagnosing gear faults in the planetary stage of a helicopter transmission. This diagnostic technique is based on the constrained adaptive lifting algorithm. The lifting scheme, developed by Wim Sweldens of Bell Labs, is a time domain, prediction-error realization of the wavelet transform that allows for greater flexibility in the construction of wavelet bases. Classic lifting analyzes a given signal using wavelets derived from a single fundamental basis function. A number of researchers have proposed techniques for adding adaptivity to the lifting scheme, allowing the transform to choose from a set of fundamental bases the basis that best fits the signal. This characteristic is desirable for gear diagnostics as it allows the technique to tailor itself to a specific transmission by selecting a set of wavelets that best represent vibration signals obtained while the gearbox is operating under healthy-state conditions. However, constraints on certain basis characteristics are necessary to enhance the detection of local wave-form changes caused by certain types of gear damage. The proposed methodology analyzes individual tooth-mesh waveforms from a healthy-state gearbox vibration signal that was generated using the vibration separation (synchronous signal-averaging) algorithm. Each waveform is separated into analysis domains using zeros of its slope and curvature. The bases selected in each analysis domain are chosen to minimize the prediction error, and constrained to have the same-sign local slope and curvature as the original signal. The resulting set of bases is used to analyze future-state vibration signals and the lifting prediction error is inspected. The constraints allow the transform to effectively adapt to global amplitude changes, yielding small prediction errors. However, local wave-form changes associated with certain types of gear damage are poorly adapted, causing a significant change in the prediction error. The constrained adaptive lifting diagnostic algorithm is validated using data collected from the University of Maryland Transmission Test Rig and the results are discussed.
机译：本文提出了一种用于检测和诊断直升机变速器行星级齿轮故障的方法。此诊断技术基于受约束的自适应提升算法。由Bell Labs的Wim Sweldens开发的提升方案是小波变换的时域预测误差实现，在小波基的构造中具有更大的灵活性。经典提升使用从单个基本基函数导出的小波来分析给定信号。许多研究人员已经提出了一些技术，以提高提升方案的适应性，从而使变换可以从一组基础信号中进行选择，从而最适合信号。该特性对于齿轮诊断而言是理想的，因为它允许该技术通过选择一组最能代表齿轮箱在健康状态下运行时获得的振动信号的小波来将其调整为特定的变速器。但是，对某些基本特性的约束对于增强对某些类型的齿轮损坏引起的局部波形变化的检测是必要的。拟议的方法分析了使用振动分离（同步信号平均）算法生成的健康状态齿轮箱振动信号中的单个齿孔波形。使用其斜率和曲率零将每个波形分为多个分析域。选择在每个分析域中选择的基准以使预测误差最小，并且将其约束为具有与原始信号相同符号的局部斜率和曲率。结果集的基础用于分析未来状态的振动信号，并检查提升预测误差。约束条件使变换可以有效地适应全局幅度变化，从而产生较小的预测误差。然而，与某些类型的齿轮损坏相关的局部波形变化适应性较差，从而导致预测误差发生重大变化。使用从马里兰大学传动试验台收集的数据验证了约束的自适应提升诊断算法，并对结果进行了讨论。

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