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1. Identity statement
Reference TypeBook Section
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W/3MTNDKH
Repositorysid.inpe.br/plutao/2016/12.05.21.25   (restricted access)
Last Update2018:08.30.12.34.13 (UTC) simone
Metadata Repositorysid.inpe.br/plutao/2016/12.05.21.25.25
Metadata Last Update2024:01.05.18.15.45 (UTC) simone
ISBN9783319388687
Labellattes: 5142426481528206 3 EchevarriaSantCampSilv:2016:DiTiIn
Citation KeyEchevarriaSantCampSilv:2016:DiTiIn
TitleDiagnosing time-dependent incipient faults
Year2016
Access Date2024, May 16
Secondary TypePRE LI
Number of Files1
Size4834 KiB
2. Context
Author1 Echevarria, Lidice Camps
2 Santiago, Orestes Llanes
3 Campos Velho, Haroldo Fraga de
4 Silva Neto, A. J.
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHC3
Group1
2
3 LAC-CTE-INPE-MCTI-GOV-BR
Affiliation1
2
3 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1
2
3 haroldo.camposvelho@inpe.br
EditorSilva Neto, A. J.
Santiago, O. L.
Silva, G. N.
Book TitleMathematical modeling and computational intelligence in engineering applications
PublisherSpringer Verlag
CityBerlim
Pages47-62
History (UTC)2016-12-05 21:25:25 :: lattes -> administrator ::
2016-12-07 03:44:29 :: administrator -> lattes :: 2016
2016-12-08 15:01:24 :: lattes -> administrator :: 2016
2018-06-04 23:26:28 :: administrator -> simone :: 2016
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsModel based fault diagnosis
Incipient faults
Inverse problem
Differential evolution algortihm
Particle collisium algorithm (PCA)
robustness
AbstractThis chapter focuses on a formulation for fault diagnosis (FDI) using an inverse problem methodology. It has been shown that this approach allows for diagnoses with adequate balance between robustness and sensitivity. The main contribution of this chapter is the expansion of this approach to include the diagnosis of time-dependent incipient faults. The FDI inverse problem is formulated as an optimization problem that is then solved with two metaheuristics: Differential Evolution and its variation Differential Evolution with Particle Collision. The proposed methodology is tested using simulated data from the Two Tanks system, which is recognized as benchmark for control and diagnosis. The results indicate that this proposal is suitable for the aforementioned diagnosis.
AreaCOMP
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > LABAC > Diagnosing time-dependent incipient...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Fileechevarria_diagnosing.pdf
User Grouplattes
Reader Groupadministrator
simone
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Next Higher Units8JMKD3MGPCW/3ESGTTP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.49.40 2
URL (untrusted data)http://link.springer.com/book/10.1007%2F978-3-319-38869-4
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
Empty Fieldsarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition format issn lineage mark nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor seriestitle session shorttitle sponsor subject tertiarymark tertiarytype translator volume
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