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Latent component-based gear tooth fault detection filter using advanced parametric modeling

机译：使用高级参数建模的基于潜在组件的齿轮故障检测滤波器

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摘要

In this paper, a new parametric model-based filter is proposed for gear tooth fault detection. The designing of the filter consists of identifying the most proper latent component (LC) of the undamaged gearbox signal by analyzing the instant modules (IMs) and instant frequencies (IFs) and then using the component with lowest IM as the proposed filter output for detecting fault of the gearbox. The filter parameters are estimated by using the LC theory in which an advanced parametric modeling method has been implemented. The proposed method is applied on the signals, extracted from simulated gearbox for detection of the simulated gear faults. In addition, the method is used for quality inspection of the produced Nissan-Junior vehicle gearbox by gear profile error detection in an industrial test bed. For evaluation purpose, the proposed method is compared with the previous parametric TAR/AR-based filters in which the parametric model residual is considered as the filter output and also Yule-Walker and Kalman filter are implemented for estimating the parameters. The results confirm the high performance of the new proposed fault detection method.
机译：本文提出了一种新的基于参数模型的齿轮故障检测滤波器。滤波器的设计包括通过分析即时模块（IM）和即时频率（IF）来确定未损坏变速箱信号的最合适的潜在分量（LC），然后使用具有最低IM的分量作为建议的滤波器输出进行检测变速箱故障。滤波器参数是使用LC理论估算的，其中已实施了高级参数建模方法。将该方法应用于从模拟变速箱提取的信号，以检测模拟齿轮故障。此外，该方法还用于在工业测试台上通过齿轮轮廓误差检测对所生产的日产-初级汽车变速箱进行质量检查。为了评估的目的，将所提出的方法与先前的基于参数TAR / AR的滤波器进行了比较，在该滤波器中，参数模型残差被视为滤波器输出，并且还采用了Yule-Walker和Kalman滤波器来估计参数。结果证实了新提出的故障检测方法的高性能。

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  • 来源
    《Mechanical systems and signal processing》 |2009年第7期|2260-2286|共27页
  • 作者

    M.M. Ettefagh; M.H. Sadeghi; M. Rezaee; S. Chitsaz;

  • 作者单位

    Laboratory of Vibration and Modal analysis, Department of Mechanical. Engineering, University of Tabriz, Tabriz 51666, Iran;

    Laboratory of Vibration and Modal analysis, Department of Mechanical. Engineering, University of Tabriz, Tabriz 51666, Iran;

    Laboratory of Vibration and Modal analysis, Department of Mechanical. Engineering, University of Tabriz, Tabriz 51666, Iran;

    R&D Department, Charkheshgar Co., West Industrial Zone, Tabriz 51385-4487, Iran;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    signal decomposition; gearbox fault detection; parametric modeling; TARMA;

    机译：信号分解变速箱故障检测;参数建模;塔玛;

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