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Harmonic-wavelet Sample-entropy Extracting Weak Noise

注意：本论文已在《Proceedings of the 7th World Congress on Intelligent Control and Automation June 25 - 27, 2008, Chongqing, China》pp. 9388-9392发表
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Wanqing song, Yuchen Chen
College of Mechanical Engineering College of Electronic and Electrical Engineering
Donghua University University of Shanghai science and Engineering
Songjiang District, Shanghai, 201620, China Songjiang District, Shanghai,201620, China

Abstract：The objective of this paper is to introduce Newland Harmonic wavelets and Richman –Moorman (2000) sample entropy are applied to extract weak cycle jumps. Because some weak vibration signals contained strong noises are very important for fault forecast. Based on harmonic wavelet mesh plot of the vibration signals, we can induce contours of the mesh map with log space, then, we offer the time-frequency profile plot from the mesh map. This time-frequency profile plot is corresponding to decompose level on harmonic wavelets. Final, by computing sample entropy in each level time-frequency profile plot, the weak cycle signal can be easily extracted from strong noise.
Keywords: frequency map, mesh profile plot, sample entropy, harmonic wavelet,weak noise

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