Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

Shuang Xi Jing; Yong Chang; Jun Fa Leng

doi:10.4028/www.scientific.net/AMM.143-144.613

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 143-144Mine Ventilator Fault Diagnosis Based on Harmonic...

Mine Ventilator Fault Diagnosis Based on Harmonic Wavelet Analysis

Abstract:

Harmonic wavelet function, with the strict box-shaped characteristic of spectrum, has strong ability of identifying signal in frequency domain, and can extract weak components form vibration signals in frequency domain. Using harmonic wavelet analysis method, the selected frequency region and other frequency components of vibration signal of mine ventilator were decomposed into independent frequency bands without any over-lapping or leaking. Simulation and diagnosis example show that this method has good fault diagnosis effect, and the ventilator fault is diagnosed successfully.

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Periodical:

Applied Mechanics and Materials (Volumes 143-144)

Pages:

613-617

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.143-144.613

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Online since:

December 2011

Authors:

Shuang Xi Jing, Yong Chang, Jun Fa Leng

Keywords:

Fault Diagnosis, Harmonic Wavelet Analysis, Mine Ventilator

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