A soft-computing framework for fault diagnosis

Rajagopalan, C. ; Baldev Raj, ; Kalyanasudaram, P. (2000) A soft-computing framework for fault diagnosis Information Sciences, 127 (3-4). pp. 87-100. ISSN 0020-0255

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Official URL: http://linkinghub.elsevier.com/retrieve/pii/S00200...

Related URL: http://dx.doi.org/10.1016/S0020-0255(00)00032-3

Abstract

The field of fault diagnosis (FD) is undergoing rapid change in the methodologies it employs, and the vast array of materials/components/structures where it is applied. The field has grown steadily because of (a) the importance attached to fail-safe mechanisms; (b) ability to detect impending failure so that preventive and corrective action can be taken and (c) the opportunities opened up by automating the diagnosis process itself. FD as a tool has to draw knowledge and expertise from a variety of scientific fields and apply multi-disciplined knowledge to empirical domains in order to achieve its objectives. Application and use of automated FD concepts to empirical domains do not require merely crisp rules, but largely, a flexible and natural framework where "experience" often determines the success or failure of diagnosis. In this paper, we describe a flexible framework, which incorporates the ideas and tools of soft computing in its methods and approach.

Item Type:Article
Source:Copyright of this article belongs to Elsevier Science.
ID Code:40318
Deposited On:23 May 2011 12:30
Last Modified:23 May 2011 12:30

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