Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders
Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders
About this item
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Author / Creator
Jin, Weihua , Sun, Bo , Li, Zhidong , Zhang, Shijie and Chen, Zhonggui
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Satellite telemetry data contains satellite status information, and ground-monitoring personnel need to promptly detect satellite anomalies from these data. This paper takes the satellite power subsystem as an example and presents a reliable anomaly detection method. Due to the lack of abnormal data, the autoencoder is a powerful method for unsuper...
Alternative Titles
Full title
Detecting Anomalies of Satellite Power Subsystem via Stage-Training Denoising Autoencoders
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e756d2548bbb49b19ecd5ffdeae1e50b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e756d2548bbb49b19ecd5ffdeae1e50b
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s19143216
