| Presentation | 2004/10/12 Stydy on Spacecraft Diagnosis Using Dynamic Bayesian Networks Yoshinobu KAWAHARA, Takehisa YAIRI, Kazuo MACHIDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Realization of sophisticated novelty detection / diagnostic method is one of the important problems in space system research. In this study, we propose new diagnostic method based on filtering using Dynamic Bayesian Networks (DBNs). Using observation data, this diagnostic method makes it possible to detect significant changes from normal state and discriminate its place and causes. Furthermore, this method has an advantage of large range diagnose capavility because of the rich expressiveness of DBNs, and adaptablity that can correct the model using statistical learning so that it may fit the actual action of a spacecraft system. In this paper, its availability is shown by simulation test. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | diagnosis / spacecraft / Dynamic Bayesian Networks (DBNs) / filtering |
| Paper # | NC2004-72 |
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| Committee | NC |
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| Conference Date | 2004/10/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Stydy on Spacecraft Diagnosis Using Dynamic Bayesian Networks |
| Sub Title (in English) | |
| Keyword(1) | diagnosis |
| Keyword(2) | spacecraft |
| Keyword(3) | Dynamic Bayesian Networks (DBNs) |
| Keyword(4) | filtering |
| 1st Author's Name | Yoshinobu KAWAHARA |
| 1st Author's Affiliation | Faculty of Engineering, Tokyo University() |
| 2nd Author's Name | Takehisa YAIRI |
| 2nd Author's Affiliation | Faculty of Engineering, Tokyo University |
| 3rd Author's Name | Kazuo MACHIDA |
| 3rd Author's Affiliation | Faculty of Engineering, Tokyo University |
| Date | 2004/10/12 |
| Paper # | NC2004-72 |
| Volume (vol) | vol.104 |
| Number (no) | 349 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |