Fault diagnosis of a PEM fuel cell system by SP model and on-line expert systems techniques

被引：0

作者：

Liu, W ^{[1
]}

Wang, XCG ^{[1
]}

机构：

[1] Natl Res Council Canada, Innovat Ctr, Vancouver, BC V6T 1W5, Canada

来源：

IASTED: PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION | 2003年

关键词：

fault detection; fault diagnosis; PEM fuel cell system; parameter estimation; Kalman filter; expert systems;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper deals with the detection and diagnosis of faults when they develop in different parts of a PEM fuel cell system. The diagnosis algorithm is based on a singular pencil model and on-line expert systems. Inputs of the expert systems are the process I/O data, such as pressure and temperature, parameters estimated by Kalman filter, and state values calculated by dynamic equations, and outputs of the expert systems are fault situations in fuel cell system.

引用

页码：188 / 191

页数：4

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