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

共 50 条

[41] Transformer On-line Monitoring and Fault Diagnosis System Based on DRNN and PAS [J].

Duan, Huida ;

Xie, Huan ;

Lu, Yang .

PROCEEDINGS OF 2019 IEEE 9TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2019), 2019, :98-101

[42] On-line broken-bar fault diagnosis system of induction motor [J].

Zhang R. ;

Wang X. .

Trans. Tianjin Univ., 2008, 2 (144-147) :144-147

[43] FAULT DETECTION OF PEM FUEL CELL FOR VEHICLE SYSTEMS USING NEUTRAL NETWORK MODELS [J].

Kamal, Mahanijah Md ;

Yu, Dingli .

JURNAL TEKNOLOGI, 2015, 76 (08) :27-31

[44] Data-Driven Fault Diagnosis for PEM Fuel Cell System Using Sensor Pre-Selection Method and Artificial Neural Network Model [J].

Xing, Yanqiu ;

Wang, Bowen ;

Gong, Zhichao ;

Hou, Zhongjun ;

Xi, Fuqiang ;

Mou, Guodong ;

Du, Qing ;

Gao, Fei ;

Jiao, Kui .

IEEE TRANSACTIONS ON ENERGY CONVERSION, 2022, 37 (03) :1589-1599

[45] Brain-inspired computational paradigm dedicated to fault diagnosis of PEM fuel cell stack [J].

Zheng, Zhixue ;

Morando, Simon ;

Pera, Marie -Cecile ;

Hissel, Daniel ;

Larger, Laurent ;

Martinenghi, Romain ;

Fuentes, Antonio Baylon .

INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2017, 42 (08) :5410-5425

[46] On-line fault detection and diagnosis for a class of positive real infinite dimensional systems [J].

Demetriou, MA ;

Ito, K .

PROCEEDINGS OF THE 41ST IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-4, 2002, :4359-4364

[47] A PARTICLE FILTERING-BASED FRAMEWORK FOR ON-LINE FAULT DIAGNOSIS IN HYBRID SYSTEMS [J].

Refan, Mohammad Hossein ;

Bahmanpour, Sareh ;

Bashooki, Mahdi .

INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2010, 6 (08) :3669-3680

[48] A new robust on-line fault diagnosis for nonlinear difference-algebraic systems [J].

Chen, YD ;

Weng, ZX ;

Shi, SJ .

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4, 2002, :1701-1705

[49] Online fault diagnosis of fuel cell systems using independent MLP neural network model [J].

Kamal, Mahanijah Md ;

Yu, Dingli .

2014 2ND INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND SYSTEM ENGINEERING (ICEESE), 2014, :38-41

[50] Fault Diagnosis Model based on Rough Set Theory and Expert System [J].

Zuo Yougang .

2009 ISECS INTERNATIONAL COLLOQUIUM ON COMPUTING, COMMUNICATION, CONTROL, AND MANAGEMENT, VOL II, 2009, :498-500

← 1 2 3 4 5 →