Fault analysis of space station dc power systems-using neutral network adaptive wavelets to detect faults

Mathematics – Logic

Scientific paper

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Spaceborne And Space Research Instruments, Apparatus, And Components, Power Electronics, Power Supply Circuits, Neural Networks, Fuzzy Logic, Artificial Intelligence, Data Analysis: Algorithms And Implementation, Data Management

Scientific paper

This paper describes the application of neutral network adaptive wavelets for fault diagnosis of space station power system. The method combines wavelet transform with neural network by incorporating daughter wavelets into weights. Therefore, the wavelet transform and neural network training procedure become one stage, which avoids the complex computation of wavelet parameters and makes the procedure more straightforward. The simulation results show that the proposed method is very efficient for the identification of fault locations.

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