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

Quan Li, Xing She Zhou, Peng Lin, Shaomin Li

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

24 Scopus citations

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.

Original languageEnglish
Title of host publicationISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics
Pages233-236
Number of pages4
DOIs
StatePublished - 2010
Event3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010 - Harbin, China
Duration: 8 Jun 201010 Jun 2010

Publication series

NameISSCAA2010 - 3rd International Symposium on Systems and Control in Aeronautics and Astronautics

Conference

Conference3rd International Symposium on Systems and Control in Aeronautics and Astronautics, ISSCAA2010
Country/TerritoryChina
CityHarbin
Period8/06/1010/06/10

Keywords

  • Anomaly detection
  • Data mining
  • Expert system
  • Fault diagnosis

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