Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/70316
Title: Fault diagnosis using dynamic finite-state automaton models
Authors: Xi, Y.-X.
Lim, K.-W. 
Ho, W.-K. 
Preisig, H.A.
Issue Date: 2001
Source: Xi, Y.-X.,Lim, K.-W.,Ho, W.-K.,Preisig, H.A. (2001). Fault diagnosis using dynamic finite-state automaton models. IECON Proceedings (Industrial Electronics Conference) 3 : 484-489. ScholarBank@NUS Repository.
Abstract: This paper continues the development of an algorithm for fault diagnosis using a Finite-state Automaton (FSA) model. The plant is represented by a set of Finite-state Automaton Tables (FATs) that can be dynamically generated for normal input and for fault input conditions. A fault detection and isolation algorithm compares actual plant events with that predicted by the FATs. This paper defines fault diagnosability of the FATs, identifies some conditions for nondiagnosability, discusses guidelines for choosing the set of boundaries that helps define the FATs and provides a method for dynamically computing the FATs. We illustrate the application of the approach on a batch system.
Source Title: IECON Proceedings (Industrial Electronics Conference)
URI: http://scholarbank.nus.edu.sg/handle/10635/70316
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