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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPEW34M/45CUJSF
Repositorysid.inpe.br/sibgrapi/2021/09.06.20.49.52
Last Update2021:09.06.20.49.52 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2021/09.06.20.49.53
Metadata Last Update2022:06.14.00.00.30 (UTC) administrator
DOI10.1109/SIBGRAPI54419.2021.00061
Citation KeyBaptistaMeOlVaRiRo:2021:OnClNo
TitleOne-Class Classifiers for Novelties Detection in Electrical Submersible Pumps
FormatOn-line
Year2021
Access Date2024, May 06
Number of Files1
Size361 KiB
2. Context
Author1 Baptista, Gabriel Soares
2 Mello, Lucas Henrique Sousa
3 Oliveira-Santos, Thiago
4 Varejão, Flávio Miguel
5 Ribeiro, Marcos Pellegrini
6 Rodrigues, Alexandre Loureiros
Affiliation1 Universidade Federal do Espírito Santo 
2 Universidade Federal do Espírito Santo 
3 Universidade Federal do Espírito Santo 
4 Universidade Federal do Espírito Santo 
5 CENPES/Petrobras 
6 Universidade Federal do Espírito Santo
EditorPaiva, Afonso
Menotti, David
Baranoski, Gladimir V. G.
Proença, Hugo Pedro
Junior, Antonio Lopes Apolinario
Papa, João Paulo
Pagliosa, Paulo
dos Santos, Thiago Oliveira
e Sá, Asla Medeiros
da Silveira, Thiago Lopes Trugillo
Brazil, Emilio Vital
Ponti, Moacir A.
Fernandes, Leandro A. F.
Avila, Sandra
e-Mail Addressgabriel.baptista@edu.ufes.br
Conference NameConference on Graphics, Patterns and Images, 34 (SIBGRAPI)
Conference LocationGramado, RS, Brazil (virtual)
Date18-22 Oct. 2021
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2021-09-06 20:49:53 :: gabriel.baptista@edu.ufes.br -> administrator ::
2022-03-02 00:54:16 :: administrator -> menottid@gmail.com :: 2021
2022-03-02 13:19:34 :: menottid@gmail.com -> administrator :: 2021
2022-06-14 00:00:30 :: administrator -> :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordseletrical submersible pump
one class classification
anomaly detection
machine learning
AbstractDetecting anomalies and fault novelties is of high interest in the industry due to the scarcity of fault examples to train classification systems. In this article two algorithms for anomaly detection, One-Class SVM and Isolation Forest, are successfully used as effective methods for detecting fault novelties in problems of electrical submersible pumps. Faults in submersible electric pumps generate an enormous cost for companies in the oil and gas sector, since the cost of stopping production to change the equipment is excessive, which makes it necessary to identify problems before implementation. Empirical evaluation shows that both one-class classifiers performed satisfactorily, obtaining macro f-measure values of approximately 0.86. For comparison purposes, a Random Forest trained in a conventional binary classification manner is tested and achieved a macro f-measure of 0.95. Results show that the proposed solutions can have practical applications in the classification of problems in electrical submersible pumps, changing the way the oil and gas industry addresses this difficulty.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2021 > One-Class Classifiers for...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > One-Class Classifiers for...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
agreement.html 06/09/2021 17:49 1.3 KiB 
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPEW34M/45CUJSF
zipped data URLhttp://urlib.net/zip/8JMKD3MGPEW34M/45CUJSF
Languageen
Target File62.pdf
User Groupgabriel.baptista@edu.ufes.br
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/45PQ3RS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2021/11.12.11.46 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume


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