NDLI: Formal Support for Failure Knowledge Modeling and Diagnostic Reasoning Using Polychromatic sets

Content Provider	IEEE Xplore Digital Library
Author	Guo Li Jianmin Gao Fumin Chen
Copyright Year	2007
Description	Author affiliation: Xi'an Jiaotong Univ., Xian (Guo Li; Jianmin Gao; Fumin Chen)
Abstract	Failure modes and effects analysis (FMEA) is a traditional safety analysis method that has a worldwide recognition across many industries. However, there are documented limitations to the technique, which make it difficult for direct conversion to the diagnosis models. This paper aims to contribute to the reuse of FMEA knowledge through a novel knowledge modeling approach. Taking the structure model into consideration, we define the failure modes as the inherent component properties at different hierarchical levels and propose a formal failure knowledge representation model based on the polychromatic sets theory. It is a structured modeling technique for representing FMEA causal knowledge in unified mathematical language, which in turn provides the framework for organizing the failure modes, the causes and effects more systematically and completely. Using the iterative search process operated on the reasoning matrices, the diagnosis reasoning for more than one top-level failure event can be realized automatically. The research shows this new approach has formed mathematical foundation which can make significant progress in FMEA knowledge formalization.
Starting Page	645
Ending Page	650
File Size	626291
Page Count	6
File Format	PDF
ISBN	9781424408504
ISSN	19354576
DOI	10.1109/INDIN.2007.4384849
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-23
Publisher Place	Austria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	FMEA Laboratories Knowledge representation reasoning matrix Mathematics Power system modeling Organizing Bayesian methods formal modeling polychromatic sets Systems engineering and theory Set theory Mathematical model Manufacturing systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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