Fan Fault Feature Extraction Based on Wavelet Packet Transform

Xin Li; Pan Feng Guo

doi:10.4028/www.scientific.net/AMM.668-669.999

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 668-669Fan Fault Feature Extraction Based on Wavelet...

Fan Fault Feature Extraction Based on Wavelet Packet Transform

Abstract:

Fan occupies the important position in many industry, it give rise to that fault diagnosis become the new hot research topic, also is the urgent demand of many manufacturing enterprises. This paper based on the theory of wavelet packet transform, selecting wavelet packet transform and energy spectrum to wavelet de-noising and fault feature extraction the fan vibration signal. And use the MATLAB get the fan vibration signal characteristic vector, lay the foundation for the fan fault diagnosis.

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Periodical:

Applied Mechanics and Materials (Volumes 668-669)

Pages:

999-1002

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.668-669.999

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Online since:

October 2014

Authors:

Xin Li, Pan Feng Guo

Keywords:

Diagnosis, Fan, Fault, Packet Transform, Wavelet

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