Event-based Fault Diagnosis for an Unknown Plant

被引：0
|
作者：
Karimi, Mohammad Mandi [1 ]
Karimoddini, Ali [1 ]
White, Alejandro P. [1 ]
Bates, Ira Wendell [1 ]
机构：
[1] North Carolina Agr & Tech State Univ, Dept Elect & Comp Engn, 1601 East Market St, Greensboro, NC 27411 USA
来源：
2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC) | 2016年
关键词：
SYSTEMS; DIAGNOSABILITY;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents an active-learning technique for constructing a fault diagnoser for an unknown finite-state Discrete Event System (DES). The proposed algorithm actively asks some basic queries from an oracle through which the algorithm completes a series of observation tables leading to the construction of the diganoser. The resulting diagnoser is a deterministic-finite-state automaton, which detects and identifies occurred faults by monitoring the observable behaviors of the plant. An illustrative example is provided detailing the steps of the proposed algorithm.
引用
收藏
页码：7216 / 7221
页数：6
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