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Data-based anomaly detection model for solar array power of in-orbit satellites

  • China Aerospace Science and Technology Corporation
  • Automatic Test and Control Institute

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

Abstract

For unpredictable failures of in-orbit satellites, a databased anomaly detection method, which is based on normal historical telemetry data, is proposed to detect in-orbit anomaly with the real-Time telemetry data. Firstly, a solar array current prediction model is constructed based on the relationship between the satellite solar array and the sun angle meter. Moreover, a false alarm filtering strategy is applied to reduce the false alarm rate. Finally, the model is used in an in-orbit satellite failure case, and the experimental results indicate that the proposed method can timely and accurately identify the solar array output failure with little time delay.

Original languageEnglish
Title of host publicationProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016
EditorsQiang Miao, Zhaojun Li, Ming J. Zuo, Liudong Xing, Zhigang Tian
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027781
DOIs
StatePublished - 16 Jan 2017
Externally publishedYes
Event7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016 - Chengdu, Sichuan, China
Duration: 19 Oct 201621 Oct 2016

Publication series

NameProceedings of 2016 Prognostics and System Health Management Conference, PHM-Chengdu 2016

Conference

Conference7th IEEE Prognostics and System Health Management Conference, PHM-Chengdu 2016
Country/TerritoryChina
CityChengdu, Sichuan
Period19/10/1621/10/16

Keywords

  • Anomaly detection
  • Data-based model
  • Prediction
  • Satellite
  • Solar array

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