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《Journal of Mechanical Strength》 2002-04
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QIAN Lijun JIANG Dongxiang SUN Haijun ZHAN Xiangsen (Department of Thermal Engineering, Tsinghua University, Beijing 100084, China)  
Non stationary signals with singularities occur while the Rotating Machinery get into fault. Hence, it's important to discover and localize the singularities for the condition monitoring and the fault pre diagnosis of the machinery. With the ability of localization in both the time domain and the frequency domain, Wavelet Transform has been playing a significant role in the analysis of singularities, which hide in the signal. First of all in this paper, the theory of Wavelet Transform and Morlet Wavelet, which is one kind of complex wavelet, were introduced. Then several simulating vibration signals containing singularities were transformed based on the Morlet Wavelet. The transform results were plotted in time frequency contour map, which revealed the singularities in the signal.The favorable results obtained from the examples show that the combination of the Morlet Wavelet and the time frequency contour map is an effective method in singularity discovering, localization and classification.
【Fund】: 国家重点基础研究专项基金资助项目 (G1 9980 2 0 32 0 )~~
【CateGory Index】: TH113.1
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