NDLI: A Novel Fault Diagnosis Framework of Computing with Words Based on Lattice-Valued Fuzzy Automata

Content Provider	IEEE Xplore Digital Library
Author	Shuai Wang Yindong Ji Wei Dong Xinya Sun
Copyright Year	2013
Description	Author affiliation: Tsinghua Nat. Lab. for Inf. Sci. & Technol., Tsinghua Univ., Beijing, China (Yindong Ji; Wei Dong; Xinya Sun) \|\| Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China (Shuai Wang)
Abstract	Fault diagnosis is crucial for complex man-made system. The discrete event system approach is an efficient method for this problem. However, the states, events and transition functions in the previous discussions were assumed to have crisp values. This prevents the use of the existing approach for some other important fields when uncertain problems need to deal with, such as uncertain states, fuzzy events. Existing studies on classical fuzzy automata for fuzzy discrete event system fault diagnosis cannot solve all the problems encountered, such as dealing with fuzzy event string, fuzzy subset of events and so on. In this paper, we propose a more general fault diagnosis framework for fuzzy discrete event system based on the lattice-valued fuzzy automata. In this framework, the system is modeled as a fuzzy discrete event system based on lattice-valued fuzzy automata. Based on this model, a fault diagnoser for system is constructed, which is also a lattice-valued fuzzy automaton that can be used to detect system faults online. The diagnosis model of computing with words is also established by extending its state transition functions on fuzzy subset of observable events. The heating, ventilating and air condition system simulation experiment is carried out, and the results show that the lattice-valued fuzzy diagnoser is a promising way for fault diagnosis of system with uncertain problems.
Sponsorship	Central South Univ.
Starting Page	62
Ending Page	66
File Size	2188812
Page Count	5
File Format	PDF
ISBN	9781467356527
DOI	10.1109/ICMTMA.2013.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis fault diagnosis lattice-valued fuzzy automata Computational modeling Fault detection Atmospheric modeling Automata Lattices computing with words Discrete-event systems Fuzzy discrete event system
Content Type	Text
Resource Type	Article

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