부산대학교 도서관

An effective fault tree prediction method is presented in this paper based on the fault tree and the curve fitting, which is used for the complex satellite management system of Space Data Process Center (SDPC). At first, the framework of the prediction system is introduced for the software and the hardware monitor. Secondly, the visual inference method is presented based on fault tree and rule. Then prediction process is described step by step based on the curve fitting method and fault tree. At last, the prediction is realized and verified though the prediction system. After the really data application, the method could predict the fault of the computer, communication and server system. The predication system could predict the fault for the SDPC software system based on the multicast effectively, which could improve the stability of SDPC system.