Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72577
Title: Diagnosability of faults using finite-state automaton model
Authors: Xi, YunXia
Lim, Khiang-Wee 
Ho, Weng-Khuen 
Preisig, Heinz A.
Issue Date: 2000
Source: Xi, YunXia,Lim, Khiang-Wee,Ho, Weng-Khuen,Preisig, Heinz A. (2000). Diagnosability of faults using finite-state automaton model. IEEE Region 10 Annual International Conference, Proceedings/TENCON 2 : II-367. ScholarBank@NUS Repository.
Abstract: This paper analyzes the diagnosability of faults in a plant modelled by Finite State Automaton Tables (FATs). The state-space is partitioned by choosing a set of boundaries for each state variable. Given the set of ordinary differential equations of the plant, it is possible to generate a Finite-State Automaton Table (FAT) representation of the plant that describes possible discrete state transitions under normal and under fault conditions. The FAT serves as input to a fault detection and isolation algorithm. In this paper, we extend our earlier work to propose a definition of fault diagnosability and analyze the nondiagnosable circumstance. The proposition is illustrated with an example.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/72577
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