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Fault Analysis Of Space Station Dc Power Systems Using Neural Network Adaptive Wavelets To Detect Faults by James A. Momoh

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1NASA Technical Reports Server (NTRS) 19970012903: Fault Analysis Of Space Station DC Power Systems-Using Neural Network Adaptive Wavelets To Detect Faults

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This paper describes the application of neural 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.

“NASA Technical Reports Server (NTRS) 19970012903: Fault Analysis Of Space Station DC Power Systems-Using Neural Network Adaptive Wavelets To Detect Faults” Metadata:

  • Title: ➤  NASA Technical Reports Server (NTRS) 19970012903: Fault Analysis Of Space Station DC Power Systems-Using Neural Network Adaptive Wavelets To Detect Faults
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  • Language: English

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The book is available for download in "texts" format, the size of the file-s is: 56.35 Mbs, the file-s for this book were downloaded 52 times, the file-s went public at Fri Oct 14 2016.

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