Jones, NB and Li, Y 2000, 'A review of condition monitoring and fault diagnosis for diesel engines' , Tribotest, 6 (3) , pp. 267-291.
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Abstract
Technical advances and environmental legislation in recent years have stimulated the development of a number of techniques for condition monitoring and fault diagnosis (CMFD) in diesel engines. This paper firstly summarises common faults, fault mechanisms and their effect on diesel engine performance. Corresponding measurands are presented. Standard CMFD methods for parameters and CMFD systems for diesel engines are reviewed. Finally, some advanced CMFD techniques, including neural networks and fuzzy logic, which may be more powerful, are discussed.
Item Type: | Article |
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Schools: | Schools > School of Computing, Science and Engineering |
Journal or Publication Title: | Tribotest |
Publisher: | Wiley |
Refereed: | Yes |
ISSN: | 1354-4063 |
Related URLs: | |
Funders: | Non funded research |
Depositing User: | Yuhua Li |
Date Deposited: | 20 Aug 2015 18:39 |
Last Modified: | 10 Aug 2017 00:57 |
URI: | http://usir.salford.ac.uk/id/eprint/35995 |
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