Detection of gear failures via vibration and acoustic signals using wavelet transform
Detection of gear failures via vibration and acoustic signals using wavelet transform
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DOI：
10.1006/mssp.2001.1435
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发表时间：
2003-07-01
影响因子：
8.4
通讯作者：
Ball, A
中科院分区：
文献类型：
--
作者：
Baydar, N;Ball, A
振动分析在机械故障诊断中有着广泛的应用，小波变换在机械状态监测中也得到了广泛的应用。与以前的应用相比，本文考察了声学信号是否可以有效地与振动信号一起使用，利用小波变换来检测齿轮箱中的各种局部故障。沿着振动信号。对齿轮传动中常见的断齿和裂齿两种局部故障进行了仿真。将声信号的结果与振动信号的结果进行了比较。结果表明，声信号是非常有效的早期检测故障，并可能提供一个强有力的工具，以指示齿轮箱的各种类型的进展性故障。(C)2003年由Elsevier Science Ltd.出版
Vibration analysis is widely used in machinery diagnostics and the wavelet transform has also been implemented in many applications in the condition monitoring of machinery. In contrast to previous applications, this paper examines whether acoustic signal can be used effectively along vibration signal to detect the various local faults in gearboxes using the wavelet transform. Two commonly encountered local faults, tooth breakage and tooth crack, were simulated. The results from acoustic signals were compared with vibration signals. The results suggest that acoustic signals are very affective for the early detection of faults and may provide a powerful tool to indicate the various types of progressing faults in gearboxes. (C) 2003 Published by Elsevier Science Ltd.