Intelligent sensor fault detection and identification for temperature control
作者： Seda Postalcioglu , Emine Dogru Bolat , Kadir Erkan
DOI:
关键词:
摘要: This paper addresses artificial intelligence and signal processing based online fault detection identification. Fuzzy logic controller has been utilized for temperature control. Faults often cause undesired reactions, so to keep the system stable obtain an acceptable control performance is important problem design. In this paper, a multiplicative, additive disturbance type of Termocouple sensor faults have examined Feature vector constructed using statistical analysis. For classifier feature Self Organizing Map (SOM) used. So can be detected identified vector.
acm.org参考文章(8)
L.B. Palma, F.V. Coito, R.N. Silva, Fault diagnosis based on black-box models with application to a liquid-level system emerging technologies and factory automation. ,vol. 2, pp. 739- 746 ,(2003) , 10.1109/ETFA.2003.1248772
Mogens Blanke, Marcel Staroswiecki, N Eva Wu, Concepts and methods in fault-tolerant control american control conference. ,vol. 4, pp. 2606- 2620 ,(2001) , 10.1109/ACC.2001.946264
D.-L. Yu, T.K. Chang, D.-W. Yu, Fault tolerant control of multivariable processes using auto-tuning PID controller systems man and cybernetics. ,vol. 35, pp. 32- 43 ,(2005) , 10.1109/TSMCB.2004.839247
Y. Maki, K.A. Loparo, A neural-network approach to fault detection and diagnosis in industrial processes IEEE Transactions on Control Systems and Technology. ,vol. 5, pp. 529- 541 ,(1997) , 10.1109/87.641399
Stoyan Kamenov Kanev, Robust fault-tolerant control University of Twente. ,(2004)
Ali Saberi, Anton A. Stoorvogel, Peddapullaiah Sannuti, Henrik Niemann, Fundamental problems in fault detection and identification International Journal of Robust and Nonlinear Control. ,vol. 10, pp. 1209- 1236 ,(2000) , 10.1002/1099-1239(20001215)10:14<1209::AID-RNC524>3.0.CO;2-C
Bjorn Wittenmark, Karl Johan Astrom, Adaptive Control ,(1989)