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.


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    Title :

    Anomaly detection and fault Diagnosis technology of spacecraft based on telemetry-mining


    Contributors:
    Quan Li, (author) / XingShe Zhou, (author) / Peng Lin, (author) / Shaomin Li, (author)


    Publication date :

    2010-06-01


    Size :

    586047 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





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