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Author:

Zhuo, Bin (Zhuo, Bin.) | Shen, Yu-Di (Shen, Yu-Di.) | Xiao, Yun-Kui (Xiao, Yun-Kui.)

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Scopus EI CSCD PKU SCOPUS

Abstract:

This paper studies the applications of Morlet continuous wavelet transform coefficients method on feature extraction and fault diagnosis of diesel engine's abnormal sound faults. Through the transform coefficients of the vibrant signals of EQ6BT diesel engine's piston knock and piston pin knock, a scale-power spectrum plot and a 3D power spectrum plot are obtained, and the characteristic of these two spectrum plots can be used for classification. With this approach, feature extraction and fault diagnosis of diesel engine are made. The result shows that, by using the scale-power spectrum plot and the 3D power spectrum plot, the piston knock faults and piston pin knock faults can be detected and distinguished directly and effectively. Moreover, the degrees of faults can also be detected.

Keyword:

Continuous wavelet transform Diesel engine Fault diagnosis Feature extraction Power spectrum

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Source :

Neiranji Xuebao/Transactions of CSICE (Chinese Society for Internal Combustion Engines)

ISSN: 1000-0909

Year: 2006

Issue: 4

Volume: 24

Page: 363-368

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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