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Journal of Zhejiang University SCIENCE A 2007 Vol.8 No.5 P.772~777


Study of engine noise based on independent component analysis

Author(s):  HAO Zhi-yong, JIN Yan, YANG Chen

Affiliation(s):  School of Mechanical and Energy Engineering, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   haozy@zju.edu.cn, kingwend@163.com

Key Words:  Acoustic signals, Independent component analysis (ICA), Wavelet transform, Noise source identification

HAO Zhi-yong, JIN Yan, YANG Chen. Study of engine noise based on independent component analysis[J]. Journal of Zhejiang University Science A, 2007, 8(5): 772~777.

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author="HAO Zhi-yong, JIN Yan, YANG Chen",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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T1 - Study of engine noise based on independent component analysis
A1 - HAO Zhi-yong
A1 - JIN Yan
A1 - YANG Chen
J0 - Journal of Zhejiang University Science A
VL - 8
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DOI - 10.1631/jzus.2007.A0772

Independent component analysis was applied to analyze the acoustic signals from diesel engine. First the basic principle of independent component analysis (ICA) was reviewed. Diesel engine acoustic signal was decomposed into several independent components (ICs); Fourier transform and continuous wavelet transform (CWT) were applied to analyze the independent components. Different noise sources of the diesel engine were separated, based on the characteristics of different component in time-frequency domain.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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[7] Liu, X.H., Randall, R.B., 2005. Blind source separation of internal combustion engine piston slap from other measured vibration signals. Mechanical Systems and Signal Processing, 19(6):1196-1208.

[8] Zheng, H., Li, H., 2002. Gear fault diagnosis based on continuous wavelet transform. Mechanical Systems and Signal Processing, 16(2-3):447-457.

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