Application of discrete wavelet transform to fault detection
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
Microcontroller based temperature control of oven using different kinds of autotuning PID methods
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Fault tolerant control of multivariable processes using auto-tuning PID controller
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Anomaly detection using self-organizing map and wavelets in wireless sensor networks
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
Anomaly detection in wireless sensor networks using self-organizing map and wavelets
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
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This paper addresses implementation of intelligent active fault tolerant control for experiment set which is a FODPT (First Order Plus Dead Time) system. Temperature control has been done using fuzzy logic controller (FLC). Faults often cause undesired reactions, so to keep the system stable and acceptable control performance is an important problem for control system design. In this paper, multiplicative, additive types of sensor faults have been examined and disturbance has been applied for temperature sensor as a fault. Feature vectors of the sensor faults have been constructed using wavelet analysis, sliding window and a statistical analysis. Classifier of the feature vectors has been done using The Self Organizing Map (SOM). Switch mode control with fuzzy logic controller chosen by supervisor has been used for reconfiguration. When a fault occurs in the system, a suitable controller has been selected online to maintain the closed-loop performance of the system.