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Fault analysis of space station dc power systems-using neural network adaptive wavelets to detect faults
| Content Provider | NASA Technical Reports Server (NTRS) |
|---|---|
| Author | Wang, Yanchun Momoh, James A. Dolce, James L. |
| Copyright Year | 1997 |
| Description | 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. |
| File Size | 5154910 |
| Page Count | 29 |
| File Format | |
| Alternate Webpage(s) | http://archive.org/details/NASA_NTRS_Archive_19970012903 |
| Archival Resource Key | ark:/13960/t3rv5gw7s |
| Language | English |
| Publisher Date | 1997-02-01 |
| Access Restriction | Open |
| Subject Keyword | Cybernetics Position Location Error Analysis Fault Detection Neural Nets Direct Current Space Station Power Supplies Electric Generators Wavelet Analysis Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science |
| Content Type | Text |
| Resource Type | Technical Report |
