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

页码：7216 / 7221

页数：6

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