Unknown fault diagnosis for nonlinear hybrid systems using strong state tracking particle filter

Proceedings - 2010 International Conference on Intelligent System Design and Engineering Application, ISDEA 2010

Volumn 2, Issue , 2010, Pages 850-853

  Zhou, Kaijun ^a   Liu, Limei ^a  

^a HUNAN UNIVERSITY OF COMMERCE   (China)

Author keywords

Hybrid systems; Particle filter; Strong state tracking; Unknown fault diagnosis

Indexed keywords

FAILURE ANALYSIS; HYBRID SYSTEMS; INTELLIGENT SYSTEMS; MONTE CARLO METHODS;

DETECTION ABILITY; NONLINEAR HYBRID SYSTEMS; NORMALIZATION FACTORS; PARTICLE FILTER; SAMPLE IMPOVERISHMENT; STATE TRACKING; STRONG TRACKING; TRANSITION PROBABILITIES;

FAULT DETECTION;

EID: 79955757921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDEA.2010.428     Document Type: Conference Paper

References (11)

1. Y.H. Tan and J.Z. Ye, "Wavelet method for fault diagnosis of analogue circuits," Journal of Electronics and Information Technology, vol. 28, Sep. 2006, pp. 1748-1751
2. J. P. Dai, Z. S. Wei, C. P. Wang and G. Y. Zhang, "Expert system for radar equipment faults diagnosis based on rough set theory," Proc. Proceedings of the 8th International Conference on Electronic Measurement and Instruments, IEEE Press, 2007, pp. 3460-3464
3. I.M. Dokas, D.A. Karras and D.C. Panagiotakopoulos, "Fault tree analysis and fuzzy expert systems: early warning and emergency response of landfill operations," Environmental Modeling and Software, vol. 24, Jan. 2008, pp. 8-25
4. H.J. Wang, B.M. Sun and J.B. Tian, "The application of qualitative simulation to process monitoring and fault diagnosis of boiler," Journal of Engineering Thermophysics, vol. 28, Jan. 2007, pp. 12-14
5. B. Samanta and K. R. Al-baulshi, "Artificial neural network based fault diagnosis of rolling element bearings using time domain features," Mechanical Systems and Signal Processing, vol. 17, Feb. 2003, pp. 317-328.
6. D.L. Xu, J. Liu, J.B. Yang, G.P. Liu, J. Wang and I. Jenkinson, "Inference and learning methodology of belief-rule-based expert system for pipeline leak detection," Expert Systems with Applications, vol. 32, Jan. 2007, pp. 103-113 (Pubitemid 44376575)
7. P. Li and V. Kadirkamanathan, "Particle Filtering Based Likelihood Ratio Approach to Fault Diagnosis in Nonlinear Stochastic Systems," IEEE Transactions on Systems, Man, and Cybernetics - Part C: Applications And Reviews, vol. 31, Mar. 2001, pp. 337-342.
8. E. O. Marcos and J. V. George, "A Particle Filtering-based Framework for Real-time Fault Diagnosis and Failure Prognosis in a Turbine Engine," Proc. Mediterranean Conference on Control and Automation, July. 2007, pp. T27-006
9. Y.T. Liu, J.P. Jiang, "Fault Diagnosis and Prediction of Hybrid System Based on Particle Filter Algorithm," Proc. Proceedings of the IEEE International Conference on Automation and Logistics, Sep. 2008, pp. 1491-1495.
10. S. Tafazoli and X.H. Sun, "Hybrid system state tracking and fault detection using particle filters," IEEE Transaction on Control Systems Technology. vol. 14, Jun. 2006, pp.1078-1087. (Pubitemid 44637623)
11. Z.H. Duan, Z.X. Cai, J.X. Yu, "Particle Filtering Algorithm for Fault Diagnosis of Multiple Model Hybrid Systems with Incomplete Models," ACTA AUTOMATICA SINICA, vol. 34, May. 2008, pp. 581-587.