Mode Identification of Hybrid Systems in the Presence of Fault

被引：36

作者：

Arogeti, Shai A. ^{[1
]}

Wang, Danwei ^{[1
]}

Low, Chang Boon ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS | 2010年 / 57卷 / 04期

关键词：

Fault detection and isolation (FDI); global analytical redundancy relations (GARRs); hybrid system; mode identification; INDUSTRIAL STEAM-GENERATOR; BOND GRAPHS; DIAGNOSIS; SUPERVISION;

D O I：

10.1109/TIE.2009.2030213

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A mode identification method for hybrid system diagnosis is proposed. The method is presented as a module of a quantitative health monitoring framework for hybrid systems. After fault occurrence, the fault is detected and isolated. The next step is fault parameters estimation, where the size of the fault is identified. Fault parameter estimation is based on data collected from the hybrid system while the system is faulty, and its dynamical model is partially unknown. A hybrid system's dynamics consists of continuous behavior and discrete states represented by modes. Fault parameter estimation requires knowledge of the monitored system's operating mode. The new method utilizes the partially known dynamical model to identify hybrid system modes in the presence of a single parametric fault.

引用

页码：1452 / 1467

页数：16

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