A Research of MM-SVM Technique for Fault Diagnosis
With the satellite development of our country, higher accuracy and stability are requires, which makes the control systems becoming more complex and requiring more telemetry parameters. Data mining techniques do not consider the physical relationship between the various components, but use of satell...
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| Veröffentlicht in: | Applied Mechanics and Materials 2014-05, Vol.556-562, p.2633-2637 |
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| container_title | Applied Mechanics and Materials |
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| creator | Yin, Ping Jin, Song Chang Yang, Shu Qiang Yin, Hong Li, Guo Ming |
| description | With the satellite development of our country, higher accuracy and stability are requires, which makes the control systems becoming more complex and requiring more telemetry parameters. Data mining techniques do not consider the physical relationship between the various components, but use of satellite telemetry parameters of the satellite states the purpose of fault identification. In this paper, we give a model based on multiple support vector machines (MM-SVM) technology satellite fault diagnosis method. The experiment shows that our method is effective in satellite equipment fault diagnosis |
| doi_str_mv | 10.4028/www.scientific.net/AMM.556-562.2633 |
| format | Article |
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| title | A Research of MM-SVM Technique for Fault Diagnosis |
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