Full Text:   <3845>

CLC number: TB53

On-line Access: 

Received: 2006-08-19

Revision Accepted: 2007-01-15

Crosschecked: 0000-00-00

Cited: 6

Clicked: 6029

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
1. Reference List
Open peer comments

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.

@article{title="Study of engine noise based on independent component analysis",
author="HAO Zhi-yong, JIN Yan, YANG Chen",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Study of engine noise based on independent component analysis
%A HAO Zhi-yong
%A JIN Yan
%A YANG Chen
%J Journal of Zhejiang University SCIENCE A
%V 8
%N 5
%P 772-777
%@ 1673-565X
%D 2007
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2007.A0772

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
IS - 5
SP - 772
EP - 777
%@ 1673-565X
Y1 - 2007
PB - Zhejiang University Press & Springer
ER -
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


[1] Comon, P., 1994. Independent component analysis, a new concept. Signal Processing, 36(3):287-314.

[2] Hao, Z.Y., Han, J., 2004. Identification of diesel front sound source based on continuous wavelet transforms. Journal of Zhejiang University SCIENCE, 5(9):1069-1075.

[3] Hyvärinen, A., 1999. Fast and robust fixed-point algorithms for independent component analysis. IEEE Transactions on Neural Networks, 10(3):626-634.

[4] Hyvärinen, A., Oja, E., 2000. Independent component analysis: algorithms and applications. Neural Networks, 13(4-5):411-430.

[5] Li, W., Gu, F., Ball, A.D., 2001. A Study of the of the diesel engines using the independent component analysis. Mechanical Systems and Signal Processing, 15(6):1165-1184.

[6] Lin, J., Qu, L.S., 2000. Feature extraction based on Morlet wavelet transform and its application for mechanical fault diagnosis. Journal of Sound and Vibration, 234(1):135-148.

[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.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE