Monitoring gear vibrations through motor current signature analysis and wavelet transform
Monitoring gear vibrations through motor current signature analysis and wavelet transform
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DOI：
10.1016/j.ymssp.2004.07.006
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发表时间：
2006
影响因子：
8.4
通讯作者：
C. Kar;A. Mohanty
中科院分区：
文献类型：
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作者：
C. Kar;A. Mohanty
在齿轮箱中，齿轮箱上的载荷波动和齿轮缺陷是两个主要的振动源。此外，由于无法安装振动传感器，有时测量变速箱中的振动并不容易。电机电流特征分析(MCSA)是检测齿轮负载波动的一种有效的、新的、非侵入性的方法。本文研究了一种多级变速箱(有缺陷和无缺陷)，以取代传统的MCSA振动监测。通过FFT分析发现，振动信号的低频与电机电流的线频有边带，而高频振动信号很难被检测到。为此，提出用离散小波变换(DWT)对电流信号进行分解，并对分解后的电流信号进行FFT分析，跟踪高频振动的边带。文中还指出了离散小波变换技术在研究多层介质阻尼器瞬变过程中的优势。CWT既不能检测缺陷，也不能检测负荷波动。结果表明，MCSA和离散小波变换可以很好地替代传统的振动监测。
In gearboxes, load fluctuations on the gearbox and gear defects are two major sources of vibration. Further, at times, measurement of vibration in the gearbox is not easy because of the inaccessibility in mounting the vibration transducers. An efficient and new but non-intrusive method to detect the fluctuation in gear load may be the motor current signature analysis (MCSA). In this paper, a multi-stage transmission gearbox (with and without defects) has been studied in order to replace the conventional vibration monitoring by MCSA. It has been observed through FFT analysis that low frequencies of the vibration signatures have sidebands across line frequency of the motor current whereas high frequencies of vibration signature are difficult to be detected. Hence, discrete wavelet transform (DWT) is suggested to decompose the current signal, and FFT analysis is carried out with the decomposed current signal to trace the sidebands of the high frequencies of vibration. The advantage of DWT technique to study the transients in MCSA has also been cited. The inability of CWT in detecting either defects or load fluctuation has been shown. The results indicate that MCSA along with DWT can be a good replacement for conventional vibration monitoring.