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Diagnostic features for the condition monitoring of hypoid gear utilizing the wavelet transform

机译:利用小波变换的准双曲面齿轮状态监测的诊断功能

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The present paper contributes to the development of new efficient solutions aimed at improving vehicle functional safety through the implementation of new transmission diagnostic methods. The study focuses on a new perspective of the diagnostic frequency range for hypoid gear condition monitoring, using acoustic emission and vibro-acoustic signal measurements and the Discrete Wavelet Transform for data analysis. The identification of the most sensitive diagnostic parameters and determination of frequency intervals using the Discrete Wavelet Transform, in which the most significant increase in the values of diagnostic parameters can be seen, has been presented. In addition, the identification of the sensitivity of the above-introduced non-destructive methods is presented. Diagnostic results in the extended frequency range were compared with the results of the classical method, and it was found that the selected parameter in the proposed measuring range could better characterize the condition of the gear unit. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文致力于通过实施新的变速箱诊断方法来提高车辆功能安全性的新型高效解决方案的开发。这项研究的重点是使用声发射和振动声信号测量以及离散小波变换进行数据分析的准双曲面齿轮状态监测的诊断频率范围。已经提出了使用离散小波变换识别最敏感的诊断参数和确定频率间隔的方法,其中可以看到诊断参数值的最大增加。另外,提出了上述非破坏性方法的敏感性的鉴定。将扩展频率范围内的诊断结果与传统方法的结果进行了比较,发现在建议的测量范围内选择的参数可以更好地表征齿轮箱的状况。 (C)2015 Elsevier Ltd.保留所有权利。

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