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作 者:GENG Xuena OUYANG Dantong HAN Cheng
机构地区:[1]College of Computer Science and Technology,Changchun University of Science and Technology,Changchun 130012,China [2]Key Laboratory of Symbolic Computation and Knowledge Engineering for Ministry of Education,Jilin University,Changchun 130021,China
出 处:《Chinese Journal of Electronics》2020年第2期304-311,共8页电子学报(英文版)
基 金:supported by the National Natural Science Foundation of China(No.61702051,No.61602058);Jilin Province Science and Technology Research Project of China(No.20180201069GX)。
摘 要:Diagnosability is an important property in the field of fault diagnosis. In this paper, a novel approach based on logical formula is proposed to verify diagnosability of Discrete event systems(DESs). CNFFSM is defined to represent a new model for DES. Each transition in DES can be described as a clause. According to CNF-FSM, we construct a CNF-diagnoser. Based on the resolution principle and CNF-diagnoser, an algorithm is presented to test whether the failure events can be detected or not in a finite number of observable events.Our algorithm can be applied in both off-line diagnosis and on-line diagnosis. Experimental results show that our algorithm can solve the diagnosability problem efficiently.Diagnosability is an important property in the field of fault diagnosis. In this paper, a novel approach based on logical formula is proposed to verify diagnosability of Discrete event systems(DESs). CNFFSM is defined to represent a new model for DES. Each transition in DES can be described as a clause. According to CNF-FSM, we construct a CNF-diagnoser. Based on the resolution principle and CNF-diagnoser, an algorithm is presented to test whether the failure events can be detected or not in a finite number of observable events.Our algorithm can be applied in both off-line diagnosis and on-line diagnosis. Experimental results show that our algorithm can solve the diagnosability problem efficiently.
关 键 词:FAULT diagnosis DIAGNOSABILITY Discrete EVENT system FINITE state machine Conjunctive NORMAL form
分 类 号:TP277[自动化与计算机技术—检测技术与自动化装置]
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