Model-based diagnosis of hybrid systems

被引：158

作者：

Narasimhan, Sriram

Biswas, Gautam

机构：

[1] NASA, Ames Res Ctr, Moffett Field, CA 94035 USA

[2] Vanderbilt Univ, Dept Elect Engn & Comp Sci, Nashville, TN 37235 USA

[3] Vanderbilt Univ, Inst Software Integrated Syst, Nashville, TN 37235 USA

来源：

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2007年 / 37卷 / 03期

基金：

美国国家航空航天局;

关键词：

fault detection and isolation; hybrid systems; model-based diagnosis (MBD);

D O I：

10.1109/TSMCA.2007.893487

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Techniques for diagnosing faults in hybrid systems that combine digital (discrete) supervisory controllers with analog (continuous) plants need to be different from those used for discrete or continuous systems. This paper presents a methodology for online tracking and diagnosis of hybrid systems. We demonstrate the effectiveness of the approach with experiments conducted on the fuel-transfer system of fighter aircraft.

引用

页码：348 / 361

页数：14

共 27 条

[1]

ABDELWAHED S, 2004, INT C ENV SYST COL S

[2]

ALUR R, 1994, HYBRID AUTOMATA ALGO, P209

[3]

[Anonymous], T SOC SIMUL

[4]

[Anonymous], THESIS VANDERBILT U

[5]

Biswas G., 2003, P 5 S FAULT DET SUP, P1125

[6]

Biswas Gautam, 2004, Habitation, V10, P21, DOI 10.3727/154296604774808892

[7]

DEARDEN R, 2002, P 13 INT WORKSH PRIN, P1

[8] Modelling for fault detection and isolation versus modelling for control [J].

Frank, PM ;

García, EA ;

Köppen-Seliger, B .

MATHEMATICS AND COMPUTERS IN SIMULATION, 2000, 53 (4-6) :259-271

[9]

Gelb A., 1979, APPL OPTIMAL ESTIMAT

[10]

Gertler J., 1988, FAULT DETECTION DIAG

← 1 2 3 →