Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/1960
Title: HACCP with multivariate process monitoring and fault diagnosis techniques: Application to a food pasteurization process
Authors: Tokatlı, E. Figen
Çınar, Ali
Schlesser, Joseph E.
Tokatlı, E. Figen
Izmir Institute of Technology. Food Engineering
Keywords: Diagnostic procedure
Fault diagnosis
Food processing
Multivariate statistical process monitoring
Issue Date: Jun-2005
Publisher: Elsevier Ltd.
Source: 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
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.
URI: https://doi.org/10.1016/j.foodcont.2004.04.008
http://hdl.handle.net/11147/1960
ISSN: 0956-7135
0956-7135
Appears in Collections:Food Engineering / Gıda Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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