@inproceedings{26fa911f0af246438cb5ed5d4f760ff4,
title = "Anomaly detection and fault diagnosis technology of spacecraft based on telemetry-mining",
abstract = "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.",
keywords = "Anomaly detection, Data mining, Expert system, Fault diagnosis",
author = "Quan Li and Zhou, {Xing She} and Peng Lin and Shaomin Li",
year = "2010",
doi = "10.1109/ISSCAA.2010.5633180",
language = "英语",
isbn = "9781424460441",
series = "ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics",
pages = "233--236",
booktitle = "ISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics",
note = "3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010 ; Conference date: 08-06-2010 Through 10-06-2010",
}