Simultaneous-Fault Diagnosis of Satellite Power System Based on Fuzzy Neighborhood ?-Decision-Theoretic Rough Set

Due to the increasing complexity of entire satellite system and deteriorating orbital environment, multiple independent single faults may occur simultaneously in power system. However, two stumbling blocks hinder effective diagnosis simultaneous-fault, namely, difficulty obtaining simultaneous-fault data extremely complicated mapping modes sensor data. To tackle challenges, a fault strategy based on novel rough set model is proposed. Specifically, named FN?DTRS by introducing concise loss function matrix fuzzy neighborhood relationship proposed accurately mine characterize between Furthermore, an attribute rule-based matching designed without using as training samples. The numerical experiments demonstrate effectiveness model, performed illustrate superiority approach.