A new extraction method and its application for weak impulse characteristic based on sliding kurtosis algorithm
Yang Fuchun, Zhou Xiaojun, Zhang Zhigang
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College of mechanical and energy engineering, Zhejiang University, Hangzhou, 310027, China
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History+
Received
Revised
Published
2008-05-15
2008-06-20
2009-04-25
Issue Date
2009-04-25
Abstract
The weak impulse component is always contained in the mechanical fault vibration signal, and the impulse signal possesses the remarkable non-Gaussian characters. The kurtosis could depict the departure degree away from the Gaussian distribution, so a new method was proposed for the weak impulse characteristic based on the sliding kurtosis algorithm. Firstly, a new time series, kurtosis series, is obtained by sliding kurtosis computation of the original signal; then FFT of the kurtosis series is done to extract the frequency of the weak impulse signal. The simulation was done by the new method to the strong signal and noise signal with weak impulse components, and the results illustrated that the method has strong ability for extraction of the weak impulse component. In practice, a broken gear vibration signal was analyzed by the method and the weak impulse component was extracted effectively.
Yang Fuchun;Zhou Xiaojun;Zhang Zhigang.
A new extraction method and its application for weak impulse characteristic based on sliding kurtosis algorithm [J]. Journal of Vibration and Shock, 2009, 28(4): 103-105,
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