Anomaly Detection and Fault Diagnosis Technology of Spacecraft Based on Telemetry-Mining

摘要：

Recent developments in data mining technologies make it possible to use the massive archived spacecraft telemetry data to produce the advanced system health monitoring applications for anomaly detection (AD) and fault Diagnosis (FD). These data driven applications can obtain the knowledge or model from spacecraft telemetry data automatically or semi-automatically. In this paper, we first introduce the conventional approaches for AD/FD such as limit-check, expert system and so on, and then describe the characteristics of the spacecraft telemetry data which should be considered in the actual data mining applications. Finally we propose some feasible approaches using data mining technology for spacecraft AD/FD.

关键词： anomaly detection:fault diagnosis:data mining expert system.

作者: Quan Li XingShe Zhou Peng Lin Shaomin Li

作者单位: Northwestern Polytechnical University,Xian 710072,China. State Key Laboratory of Astronautic Dynamics,Xian Satellite Control Center,Xian 710043,China.

会议类型: 国际会议

会议名称: The 3rd International Symposium on Systems and Control in Aeronautics and Astronautics(第三届航空航天系统与控制国际会议 ISSCAA 2010)

会议地点: 哈尔滨

会议语种:英文

页码: 229-232

在线出版日期: 2010-01-08（万方平台首次上网日期，不代表论文的发表时间）