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国外文献 > 1.轴承 > 8. 系统与应用 > 电机与旋转机械

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标 题： A Comparative Study between the FFT and DWT Method Applied to a Bearing Fault in Induction Motors - Results Dedicated to the Industry
感应电机轴承故障中FFT与DWT方法的比较研究——面向工业的应用结果
作 者： N. BESSOUS
S. E. ZOUZOU
W. BENTRAH
S. SBAA
关键词： Bearing defect  [轴承缺陷]
Discrete wavelet transform (DWT)  [ 离散小波变换（DWT）]
Fault diagnosis  [ 故障诊断]
Induction motors  [ 感应电动机]
Inner raceway  [ 内槽外滚道]
Outer raceway  [ 频谱分析（FFT）]
出版年： 2015
期刊名： WSEAS transactions on systems and control
WSEASAS 系统与控制交易
年卷期： 2015, vol.10
摘 要： The diagnosis of rotating machines by signals analysis has evolved considerably in recent years thanks to advanced signal processing techniques. The bearing faults have an important percentage by comparison with the stator or rotor faults in induction machines. The method used to detect this defect is based on accurate and clear information at any time. In addition to that, many works have dealt with the diagnosis by several techniques. Our work will deal with two approach signals that are used for bearing fault diagnosis: 1- The first is based on the fast Fourier transform (FFT), by using the spectral analysis of the stator current. The accuracy of this method depends on the following conditions: invariable load and constant speed. 2- The second method is based on the discrete wavelet transform (DWT), which is regarded as a tool for analyzing the variable signals. These two approaches are applied to the experimental results, through an analysis of the stator current, only to find a clear defect and accurate information.

近年来，由于先进的信号处理技术的发展，旋转机械的信号分析诊断方法已取得显著进步。与感应电机的定子或转子故障相比，轴承故障所占比例较大。检测该缺陷的方法依赖于在任何时刻都能获得准确且清晰的信息。此外，已有许多研究采用多种技术进行故障诊断。本研究将探讨两种用于轴承故障诊断的信号方法：1- 第一种方法基于快速傅里叶变换（FFT），利用定子电流的频谱分析。该方法的准确性取决于以下条件：恒定负载和固定转速。2- 第二种方法基于离散小波变换（DWT），该方法被视为分析变信号的有效工具。这两种方法均应用于实验结果中，通过分析定子电流，仅能发现清晰的缺陷并获取准确的信息。
中文内容为网络AI翻译，专业术语未必准确，仅供参考。

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