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An Investigation into the Effects of Load on Several Gear Fault Diagnostic Techniques

机译:负载对几种齿轮故障诊断技术影响的研究

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An investigation of the load effect on a number of well-known gear fault diagnostic techniques is presented in this paper. The motivation for this study comes from the requirement for an in-flight diagnostic system of helicopter transmissions that is capable of detecting and diagnosing faults under various flight/loading conditions. For this purpose, the continuous wavelet transform is examined and compared with the residual kurtosis technique and short-time Fourier transform technique (spectrogram) in terms of their abilities to detect faults under different loads. The results show that residual kurtosis is load dependent and only capable of detecting gear cracking under a relatively large load. The effectiveness of the spectrogram is constrained by its constant resolutions across the time-frequency domain. The wavelet analysis, however, is effective in diagnosing gear cracking under various loading conditions. A brief theoretical description of the wavelet transform is also presented.
机译:本文介绍了负载对许多知名齿轮故障诊断技术的影响。这项研究的动机来自对直升飞机变速器飞行中诊断系统的需求,该系统能够检测和诊断各种飞行/负载条件下的故障。为此,检查连续小波变换并将其与残余峰度技术和短时傅立叶变换技术(频谱图)在不同负载下检测故障的能力进行比较。结果表明,残余峰度与载荷有关,并且只能在较大载荷下检测齿轮裂纹。频谱图的有效性受到其在时频域中恒定分辨率的限制。但是,小波分析可有效诊断各种载荷条件下的齿轮裂纹。还给出了小波变换的简要理论描述。

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