Fault detection and accommodation for nonlinear systems using fuzzy neural networks

Conference Proceedings - IPEMC 2006: CES/IEEE 5th International Power Electronics and Motion Control Conference

Volumn 3, Issue , 2007, Pages 1958-1962

  Xue, H ^a   Jiang, J G ^a  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

Adaptive; Fault accommodation; Fault detection; Fuzzy neural network; Nonlinear system

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; ARTIFICIAL INTELLIGENCE; BRUSHLESS DC MOTORS; COMPUTER NETWORKS; CONTROL THEORY; DC GENERATOR MOTORS; DC MOTORS; DYNAMICAL SYSTEMS; ELECTRIC FAULT CURRENTS; ELECTRIC MOTORS; ESTIMATION; FAULT DETECTION; FUZZY CONTROL; FUZZY LOGIC; MECHANICS; METROPOLITAN AREA NETWORKS; MOTION CONTROL; MOTION PLANNING; MOTORS; NETWORK PROTOCOLS; NEURAL NETWORKS; NONLINEAR PROGRAMMING; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; POWER ELECTRONICS;

(I ,J) CONDITIONS; BRUSHLESS DC (BLDC); CONFERENCE PROCEEDINGS; CONTROL FORCES; CONTROL PRECISIONS; FAULT COMPENSATION; FAULT DIAGNOSIS (FD); FAULT ESTIMATION; FAULT-ACCOMMODATION; FUZZY-NEURAL; HIGH DYNAMIC PERFORMANCE; INTERNATIONAL (CO); LOAD TORQUE; MOTOR PARAMETERS; SIMPLE STRUCTURES; SIMULATION RESULTS;

FUZZY NEURAL NETWORKS;

EID: 45149085730     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPEMC.2006.297420     Document Type: Conference Paper

References (11)

1. M.E. Shendy and S.M. Alan, "A fuzzy expert systems for fault detection in statistical process control of industrial process," IEEE Trans. on Syst., Man, and Cybe., vol. 30, pp. 281-289, February 2000.
2. X.Q. Liu, H.Y. Zhang and J. Liu, "Fault detection and diagnosis of permanent magnet DC motor based on parameter estimation and neural network," IEEE Trans. on Indu. Elec., vol. 47, pp. 1021-1030, May 2000.
3. A. Bernieri, G. Betta and A. Pietrosanto, "A neural network approach to instrument fault detection and isolation," IEEE Trans. on Inst, and Meas., vol. 44, pp. 747-750, March 1995.
4. W. Wilson, I. Fathy and G. Farid, "A neuro-fuzzy approach to gear system monitoring," IEEE Trans. on Fuzzy Syst., vol. 12, pp. 710-723, May 2004.
5. O. Jarrah and M. Alrousan, "Fault detection and accommodation in dynamic systems using adaptive neurofuzzy systems," Cont. Theo. Appl., vol. 148, pp. 283-290, April 2001.
6. X. Zhao and D.Y. Xiao, "Fuzzy diagnosis of nonlinear systems based on modular fuzzy neural networks," Cont. Theo, and Appl., vol. 18, pp. 395-400, March 2001.
7. M.M. Polycarpou and J.H. Helmicki, "Automated fault detection and accommodation: a learning systems approach," IEEE Trans. on Syst., Man, and Cybes, vol. 25, pp. 1447-1458, November 1995.
8. K. Sukumar, A new generation of adaptive control: an intelligent supervisory approach. Toledo, USA: Toledo University, 2004.
9. F. Caccavale and L. Villain, Fault diagnosis for industrial robots. Berlin Heidelberg, Germany: Sping-Verlag, 2003.
10. M.G. Negorita, V. Palade and D. Neagu, Computational intelligence engineering of hybrid systems. Berlin Heidelberg, Germany: Sping-Verlag, 2005.
11. Z.C. Ji, Y.X. Shen and J.G. Jiang, "A novel method for modeling and simulation of BLDC system based on Matlab," J. Syst, System Simu., vol. 15, pp. 1745-1749, December 2003.