Please use this identifier to cite or link to this item:
https://hdl.handle.net/11147/1960
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tokatlı, E. Figen | - |
dc.contributor.author | Çınar, Ali | - |
dc.contributor.author | Schlesser, Joseph E. | - |
dc.date.accessioned | 2016-07-21T13:41:57Z | |
dc.date.available | 2016-07-21T13:41:57Z | |
dc.date.issued | 2005-06 | |
dc.identifier.citation | Tokatlı, E.F., Çınar, A., and Schlesser, J.E. (2005). HACCP with multivariate process monitoring and fault diagnosis techniques: Application to a food pasteurization process. Food Control, 16(5), 411-422. doi:10.1016/j.foodcont.2004.04.008 | en_US |
dc.identifier.issn | 0956-7135 | |
dc.identifier.issn | 0956-7135 | - |
dc.identifier.uri | https://doi.org/10.1016/j.foodcont.2004.04.008 | |
dc.identifier.uri | http://hdl.handle.net/11147/1960 | |
dc.description.abstract | Multivariate statistical process monitoring (SPM), and fault detection and diagnosis (FDD) methods are developed to monitor the critical control points (CCPs) in a continuous food pasteurization process. Multivariate SPM techniques effectively use information from all process variables to detect abnormal process behavior. Fault diagnosis techniques isolate the source cause of the deviation in process variable(s). The methods developed are illustrated by implementing them to monitor the critical control points and diagnose causes of abnormal operation of a high temperature short time (HTST) pasteurization pilot plant. The detection power of multivariate SPM and FDD techniques over univariate SPM techniques is shown and their integrated use to ensure the product safety and quality in food processes is demonstrated. | en_US |
dc.description.sponsorship | USDA : NRI Grant 97-35503-4887 | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd. | en_US |
dc.relation.ispartof | Food Control | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Diagnostic procedure | en_US |
dc.subject | Fault diagnosis | en_US |
dc.subject | Food processing | en_US |
dc.subject | Multivariate statistical process monitoring | en_US |
dc.title | HACCP with multivariate process monitoring and fault diagnosis techniques: Application to a food pasteurization process | en_US |
dc.type | Article | en_US |
dc.authorid | TR26995 | en_US |
dc.institutionauthor | Tokatlı, E. Figen | - |
dc.department | İzmir Institute of Technology. Food Engineering | en_US |
dc.identifier.volume | 16 | en_US |
dc.identifier.issue | 5 | en_US |
dc.identifier.startpage | 411 | en_US |
dc.identifier.endpage | 422 | en_US |
dc.identifier.wos | WOS:000227229200005 | en_US |
dc.identifier.scopus | 2-s2.0-10944255097 | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.identifier.doi | 10.1016/j.foodcont.2004.04.008 | - |
dc.relation.doi | 10.1016/j.foodcont.2004.04.008 | en_US |
dc.coverage.doi | 10.1016/j.foodcont.2004.04.008 | en_US |
local.message.claim | 2022-06-03T11:46:43.090+0300 | * |
local.message.claim | |rp00234 | * |
local.message.claim | |submit_approve | * |
local.message.claim | |dc_contributor_author | * |
local.message.claim | |None | * |
dc.identifier.wosquality | Q1 | - |
dc.identifier.scopusquality | N/A | - |
item.languageiso639-1 | en | - |
item.openairetype | Article | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.fulltext | With Fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
crisitem.author.dept | 03.08. Department of Food Engineering | - |
Appears in Collections: | Food Engineering / Gıda Mühendisliği Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
CORE Recommender
SCOPUSTM
Citations
16
checked on Sep 1, 2024
WEB OF SCIENCETM
Citations
14
checked on Aug 17, 2024
Page view(s)
504
checked on Sep 2, 2024
Download(s)
454
checked on Sep 2, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.