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With the rapid development of various types of satellite and applications , increasing demand for satellite , satellite features are also more complex, the control system accuracy, stability , etc. have become increasingly demanding , making the control system control programs are increasingly complex, requiring telemetry downlink parameters monitored more and more , leading to the satellite control system failure probability increases, the fault type is also complex and diverse, through artificial monitoring telemetry data , to determine the point of failure need to design staff great effort . Abnormality is detected only by artificial timely and accurately locate the fault is very difficult, find fault in a very short period of time required to develop a maintenance program , and verify that the maintenance program correctness is more difficult , often pressed for time delaying the rescue time . This requires a set of efficient data processing , fault alarm , fault diagnosis, fault simulation , decision support and other functions in one of the expert system to protect satellites in orbit accurately detect faults and correct and timely maintenance , this expert system will be established satellites in orbit, one of the important work . The set of expert system has the function of self- learning and growing , you need to rely on a more complex data warehouse , which has features that has a massive , real-time data , and the data is more complex, diverse, system requirements, data reliability , availability and security higher , and ultimately also supports efficient data access. Therefore, in such cases, well-designed database schema , but also consider the mode conversion between different data , in order to support efficient data access, the database must be carried out to optimize the design, including the design and even specially suitable index structure . It must be the optimal use of advanced data mining techniques and to improve fault detection, diagnosis and decision-making functions.
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