1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | mtc-m16d.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP7W/3CEUDJ2 |
Repository | sid.inpe.br/mtc-m19/2012/08.15.14.51 |
Last Update | 2012:08.15.14.58.19 (UTC) marciana |
Metadata Repository | sid.inpe.br/mtc-m19/2012/08.15.14.51.04 |
Metadata Last Update | 2021:02.11.21.05.44 (UTC) administrator |
Secondary Key | INPE--PRE/ |
DOI | 10.1109/EDCC.2012.19 |
ISBN | 978-0-7695-4671-1 |
Citation Key | AzevedoAmbrViei:2012:ApDaMi |
Title | Applying Data Mining for Detecting Anomalies in Satellites |
Year | 2012 |
Access Date | 2024, May 01 |
Secondary Type | PRE CI |
Number of Files | 1 |
Size | 670 KiB |
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2. Context | |
Author | 1 Azevedo, Denise Rotondi 2 Ambrosio, Ana Maria 3 Vieira, Marco |
Group | 1 DSS-ETE-INPE-MCTI-GOV-BR 2 DSS-ETE-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 CISUC, Department of Informatics Engineering University of Coimbra Coimbra, Portugal |
Conference Name | European Dependable Computing Conference, 9 (EDCC). |
Conference Location | Sibiu |
Date | 8-11 May |
Publisher | Association for Computing Machinery |
Publisher City | New York |
Pages | 212-217 |
Book Title | Proceedings |
History (UTC) | 2013-01-21 12:44:42 :: marciana -> administrator :: 2012 2021-02-11 21:05:44 :: administrator -> marciana :: 2012 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
Keywords | Clustering algorithms Telemetering equipment |
Abstract | Telemetry data is the only source for identifying/predicting anomalies in artificial satellites. Human specialists analyze these data in real time, but its large volume, makes this analysis extremely difficult. In this experience paper we study the hypothesis of using clustering algorithms to help operators and analysts to perform telemetry analysis. Two real cases of satellite anomalies in Brazilian space missions are considered, allowing assessing and comparing the effectiveness of two clustering algorithms (K-means and Expectation Maximization), which showed to be effective in the case study where several telemetry channels tended to deliver outlier values and, in these cases, could support the satellite operators by allowing the anticipation of anomalies. However for silent problems, where there was just a small variation in a single telemetry, the algorithms were not as efficient. |
Area | ETES |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSS > Applying Data Mining... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGP7W/3CEUDJ2 |
zipped data URL | http://urlib.net/zip/8JMKD3MGP7W/3CEUDJ2 |
Language | en |
Target File | 06214776.pdf |
User Group | marciana |
Visibility | shown |
Read Permission | allow from all |
Update Permission | not transferred |
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5. Allied materials | |
Linking | Trabalho Vinculado à Tese/Dissertação |
Mirror Repository | sid.inpe.br/mtc-m19@80/2009/08.21.17.02.53 |
Next Higher Units | 8JMKD3MGPCW/446B2HE |
Citing Item List | sid.inpe.br/bibdigital/2021/02.11.21.02 2 |
Dissemination | IEEEXplore |
Host Collection | sid.inpe.br/mtc-m19@80/2009/08.21.17.02 |
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6. Notes | |
Empty Fields | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress edition editor electronicmailaddress format issn label lineage mark nextedition notes numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarytype type url volume |
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7. Description control | |
e-Mail (login) | marciana |
update | |
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