Host: Japan SOciety for Fuzzy Theory and intelligent informatics
Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"
Performance of control and diagnostic applications depend strongly on the accuracy of sensor readings. However, sensors used in these applications are not always functional and/or may be mis-calibrated. Detecting, and recovering from, sensor faults is not trivial, however, although a number of recent studies have shown success in addressing this problem via computational methods (as opposed to using multiple redundant sensors.) This seminar presents the application of several alternative methodologies from Computational Intelligence to the problem of sensor fault diagnosis and recovery. These methods include Auto-Associative Neural Networks (AANN), Fuzzy Logic (FL) based clustering as well as Artificial Immune Networks (AIN). The application of these methods in engineering and in particular in energy management and control systems, among other domains, is discussed and relevant conclusions are drawn. In particular we consider the merits and potential drawbacks of each of the methods and suggest how they may be suitably applied to appropriate application domains. The seminar concludes with an outline of research issues in sensor diagnostics and potential future directions in this field.
