Location of Repository

Fault diagnosis using Rough Sets Theory

By Lixiang Shen, Francis E. H. Tay, Liangsheng Qu and Yudi Shen

Abstract

The fault diagnosis on diesel engine is a difficult problem due to the complex structure of the engine and the presence of multi-excite sources. Usually, one method of fault diagnosis can only inspect one corresponding fault category. In this paper, a new method, Rough Sets Theory, is used to diagnose the valve fault for a multi-cylinder diesel engine. Through the analysis of the final reducts generated using Rough Sets Theory, it is shown that this new method is effective for valve fault diagnosis. Rough Sets analysis requires discretizing the fault condition attributes. However, in practice, some of the limits of these attributes are unknown. A new discretization method has been created and the method is found to be suitable for discretizing the attributes without a priori knowledge. q 2000 Elsevier Science B.V. All rights reserved

Topics: Fault diagnosis, Rough Sets Theory, Discretization
Year: 2000
OAI identifier: oai:CiteSeerX.psu:10.1.1.18.5346
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://www.geocities.com/rough... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.