基于连续小波变换的水轮机振动信号检测
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摘要
通过对连续小波变换的分析研究,提出了一种提取信号在小波尺度上的时频信息的信号分析方法。该方法能够有效将水轮机非稳态工况下的振动信号很好地分解在有限的时间—尺度范围内而保持信号的信息完整;对比传统的频谱分析和二进小波变换,信号经过连续小波变换后,其内部蕴涵的状态信息能在尺度域上很好地体现出来。
On the basis of continuous wavelet transform, a signal analysis method based on extracting the feature of the signal on wavelet scale is put forward. For the vibrating signal of the hydraulic turbine in unsteady-stage conditions, this method can decompose it in a limited time and frequency range, and keep the information completely.Compared with the traditional frequency spectrum analysis and dyadic wavelet transform, the status information of the signal is displayed clearly on scale domain after the transform of continuous wavelet.
On the basis of continuous wavelet transform, a signal analysis method based on extracting the feature of the signal on wavelet scale is put forward. For the vibrating signal of the hydraulic turbine in unsteady-stage conditions, this method can decompose it in a limited time and frequency range, and keep the information completely.Compared with the traditional frequency spectrum analysis and dyadic wavelet transform, the status information of the signal is displayed clearly on scale domain after the transform of continuous wavelet.
引文
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[3] 杨福生.小波变换的工程分析与应用[M].北京:科学出版社,1999.
[4] 林京,屈梁生.基于连续小波变换的信号检测技术与故障诊断[J].机械工程学报,2000,36(12):95100
[5] ChakrabortyA.利用小波变换法对地震数据进行频率时间域分解[J].徐焱东译.勘探地球物理进展,1996(3):1021
[6] 崔锦泰.小波分析导论[M].西安:西安交通大学出版社,1995.
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