Publication:
An integrated application of control performance assessment and root cause analysis in refinery control loops

dc.contributor.coauthorYağcı, Mehmet
dc.contributor.departmentDepartment of Chemical and Biological Engineering
dc.contributor.kuauthorArkun, Yaman
dc.contributor.schoolcollegeinstituteCollege of Engineering
dc.date.accessioned2024-11-09T13:26:50Z
dc.date.issued2020
dc.description.abstractAssessing the performance of control loops is an important component of Control Performance Monitoring (CPM) systems. Most of the industrial chemical processes have a large number of control loops interacting with each other in a complex way due to material and energy integration in the plant. A problem occurring in a certain control loop can easily upset the performance of the other control loops. Therefore, identification of the ""bad"" control loops causing a plant-wide disturbances is a crucial task. In this work, an integrated approach covering performance assessment and interaction analysis is proposed to detect the ""bad"" loops based on their performances. First, Minimum Variance Control (MVC) benchmark is used to screen-out the poor performing loops. Then, the spectral envelope method utilizing frequency analysis is used to identify the common oscillation periods among the loops under study. Finally, Granger causality is used to plot the interaction map between the loops. Even though these methods are well developed and used for several purposes separately, we present an integrated approach which focuses and analyzes the ""bad loops"". The developed approach has been tested in a refinery plant having 18 control loops. The results show that the proposed method is clearly able to identify and isolate the root-cause control loops. The validation of results and further improvements in the control loops under study have been given.
dc.description.fulltextYES
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuTÜBİTAK
dc.description.sponsorshipScientific and Technological Research Council of Turkey (TÜBİTAK)
dc.description.versionPublisher version
dc.identifier.doi10.1016/j.ifacol.2020.12.651
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02965
dc.identifier.issn2405-8963
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85105084406
dc.identifier.urihttps://hdl.handle.net/20.500.14288/3496
dc.identifier.wos652593100458
dc.keywordsControl loop monitoring
dc.keywordsPerformance assessment
dc.keywordsDiagnosis
dc.keywordsRoot-cause analysis
dc.language.isoeng
dc.publisherElsevier
dc.relation.grantno3150984
dc.relation.ispartofIFAC PapersOnLine
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9613
dc.subjectAutomation and control systems
dc.titleAn integrated application of control performance assessment and root cause analysis in refinery control loops
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorArkun, Yaman
local.publication.orgunit1College of Engineering
local.publication.orgunit2Department of Chemical and Biological Engineering
relation.isOrgUnitOfPublicationc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isOrgUnitOfPublication.latestForDiscoveryc747a256-6e0c-4969-b1bf-3b9f2f674289
relation.isParentOrgUnitOfPublication8e756b23-2d4a-4ce8-b1b3-62c794a8c164
relation.isParentOrgUnitOfPublication.latestForDiscovery8e756b23-2d4a-4ce8-b1b3-62c794a8c164

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
9613.pdf
Size:
570.57 KB
Format:
Adobe Portable Document Format