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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. |
Keywords: | Diagnostic procedure Fault diagnosis Food processing Multivariate statistical process monitoring |
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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