Repository logo
  • Research Outputs
  • Researchers
  • Schools
    Felizberta Lo Padilla Tong School of Social SciencesIp Ying To Lee Yu Yee School of Humanities and LanguagesRita Tong Liu School of Business and Hospitality ManagementS.K. Yee School of Health SciencesYam Pak Charitable Foundation School of Computing and Information Sciences
  • Help
Repository logo
  1. Home
  2. Computing and Information Sciences
  3. CIS Publication
  4. The identification of diesel engine noise sources
 
  • Details

The identification of diesel engine noise sources

Author(s)
Leung, Andrew Yee Tak  
Author(s)
Li, W.
Gu, F.
Ball, A. D.
Date Issued
2000
Publisher
Katholieke Universiteit Leuven
Related Publication(s)
Proceedings of ISMA25: 2000 International Conference on Noise and Vibration Engineering (Volume III)
Start page
1277
End page
1284
Abstract
The independent component analysis (ICA) is presented in this paper for the identification of diesel engine noise sources from the measured acoustic signals. The ICA has the capability of separating the latent engine noise sources from only the measured acoustic signals robustly. It helps to study the source characteristics in further details. First in this paper, a brief review in the analysis of diesel engine noise is given. The theory and properties of the ICA are discussed in the second part. The applications of the ICA with both the simulated and real data are presented next. The results indicate that the ICA is able to separate most known engine noise related sources from the measured acoustic signals.
URI
https://repository.sfu.edu.hk/handle/sfu/3041
SFU Affiliated Publication
No
Availability at SFU Library

No database links found.

Responsible Use of E‑Resources | Privacy Policy | Disclaimer
© SFU Library. All Rights Reserved.
SFU Library