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Application of non-stationary signal characteristics using wavelet packet transformation Sang-Gil Park
The Journal of Mechanical Science and Technology, vol. 22, no. 11, pp.2122-2133, 2008
Abstract : Although Fourier-based methods have been standard methods for frequency analysis, they are not well suited for the
analysis of nonlinear or non-stationary systems due to their time-varying natures. Thus, in this paper, a wavelet packetbased
technique, which calculates time-varying coherence functions for input/output relationships, is developed. The
developed method uses the Coiflet wavelet that has been widely used in signal processing. It is applied to obtain the
time-varying coherence function, and to detect the impulse signal from the impulse-embedded signal such as an automobile
sound/vibration signal with an external impact caused by a collision or passing over rough terrain. Some characteristics
of non-stationary behavior such as the wavelet packet coefficients, maximum phase plane (MPP) analysis
and fault detection are also demonstrated. The method gives promising results of non-stationary input-output systems,
and so may be used as an effective tool for condition monitoring or fault detection area.
Keyword :
Wavelet packet; Signal processing; Non-stationary signal; MISO(Multiple Input/Single Output)
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