Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis | Zendy

W.J. Wang | Zendy

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Wavelet Transform in Vibration Analysis for Mechanical Fault Diagnosis

Author(s) -

W.J. Wang

Publication year - 1996

Publication title -

shock and vibration

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.418

H-Index - 45

eISSN - 1875-9203

pISSN - 1070-9622

DOI - 10.1155/1996/375635

Subject(s) - wavelet , wavelet transform , harmonic wavelet transform , discrete wavelet transform , second generation wavelet transform , wavelet packet decomposition , vibration , stationary wavelet transform , scale (ratio) , fault (geology) , continuous wavelet transform , pattern recognition (psychology) , time–frequency analysis , mathematics , computer science , algorithm , acoustics , artificial intelligence , physics , geology , computer vision , seismology , filter (signal processing) , quantum mechanics

The wavelet transform is introduced to indicate short-time fault effects in associated vibration signals. The time-frequency and time-scale representations are unified in a general form of a three-dimensional wavelet transform, from which two-dimensional transforms with different advantages are treated as special cases derived by fixing either the scale or frequency variable. The Gaussian enveloped oscillating wavelet is recommended to extract different sizes of features from the signal. It is shown that the time-frequency and time-scale distributions generated by the wavelet transform are effective in identifying mechanical faults.

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