HACCP with multivariate process monitoring and fault diagnosis techniques: application to a food pasteurization process |
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| Affiliation: | 1. Translational Addiction Research Laboratory, Centre for Addiction and Mental Health, Toronto, Canada;2. Alcohol Research and Treatment Clinic, Addiction Medicine Services, Ambulatory Care and Structured Treatments, Centre for Addiction and Mental Health, Toronto, ON, Canada;3. Campbell Family Mental Health Research Institute, CAMH, Toronto, ON, Canada;4. Department of Family and Community Medicine, University of Toronto, Toronto, ON, Canada;5. Department of Pharmacology, University of Toronto, Toronto, ON, Canada;6. Department of Psychiatry, Division of Brain and Therapeutics, University of Toronto, Toronto, ON, Canada;7. Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada |
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| 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. |
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