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Biologically Inspired Intelligent Fault Diagnosis for Power Distribution Systems This project investigates and develops a Biologically Inspired Intelligent Fault Management System using Artificial Immune Systems (AIS) technologies along with Fuzzy Logic and Neural Network to mine the historical real-world outage data in order to actively manage power distribution system faults causes identification. This system would revolutionize the Fault Diagnosis process for power distribution systems to significantly increase system reliability and reduce operation costs. The proposed activities and architectures are not only limited to power distribution system, but are also applicable to other industries such as communication networks and transportation system that are large scale nonlinear systems with uncertain operating environments.
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