Experimental platform for faults detection in fuzzy controllers based on artificial immune systems

An Artificial-Immune-System (AIS) based anomaly detection system applied to Water Supply System (WSS) is presented. At normal working, the pressure level into the WSS is controlled by a Fuzzy Control System. As the WSS is composed of pressure sensors, valves, pumps, and other devices, faults in thes...

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Bibliographic Details
Main Authors: Pacifico Guimaraes Lima, Robson, de Souza Arruda, Bruno Willian, Protasio de Souza, Cleonilson
Format: Conference Proceeding
Language:English
Subjects:
Control systems
Detectors
Fault Detection
Fuzzy Controller
Immune system
Monitoring
Negative Selection Algorithm
Organisms
Valves
Vectors
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Description
Summary:An Artificial-Immune-System (AIS) based anomaly detection system applied to Water Supply System (WSS) is presented. At normal working, the pressure level into the WSS is controlled by a Fuzzy Control System. As the WSS is composed of pressure sensors, valves, pumps, and other devices, faults in these devices causing abnormal disturbances can occur. An algorithm of AIS, namely, the Negative Selection Algorithm (NSA), is the base of the proposed anomaly detection system. The NSA verifies abnormal system conditions based on the normal system conditions. Experimental results show that the proposed system is effective in order to detect anomaly.
ISSN:1091-5281
DOI:10.1109/I2MTC.2013.6555485