Machine Learning
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
No free lunch theorems for optimization
IEEE Transactions on Evolutionary Computation
Proceedings of the 2010 Conference on Grand Challenges in Modeling & Simulation
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This paper presents and discusses fault classification and fault accommodating controls for a notional Medium Voltage AC (MVAC) integrated shipboard power system (IPS). The goals of the proposed methodology are to differentiate amongst operating conditions, predict, detect, and locate faults, and to design a flexible distributed fault accommodating control scheme that is able to maintain system stability during control operations. Simulation studies of the proposed architecture, including simulated line-to-line faults, and details of fault classification algorithms employed are presented.