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|Title:||Fault diagnosis based on Rough Set Theory|
|Authors:||Tay, F.E.H. |
Rough Set Theory
|Citation:||Tay, F.E.H., Shen, L. (2003-02). Fault diagnosis based on Rough Set Theory. Engineering Applications of Artificial Intelligence 16 (1) : 39-43. ScholarBank@NUS Repository. https://doi.org/10.1016/S0952-1976(03)00022-8|
|Abstract:||In contingency management of a complex system, identification of error condition or faults diagnosis is a very important stage. It determines the methods and techniques to be applied in the following stages of contingency management. In this paper, Rough Set Theory as a new fault-diagnosing tool is used to identify the valve fault for a multi-cylinder diesel engine. This method overcomes the shortcoming of conventional methods where each method of fault diagnosis on diesel engine can only provide one corresponding fault category. By the analysis of the final reducts generated using Rough Set Theory, it is shown that this new method is effective for valve fault diagnosis and it is a new powerful tool that can be applied in contingency management. © 2003 Elsevier Science Ltd. All rights reserved.|
|Source Title:||Engineering Applications of Artificial Intelligence|
|Appears in Collections:||Staff Publications|
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