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Modeling Patterns for Performance Analysis of Production and Safety Systems in Process Industry
Huixing Meng

Modeling Patterns for Performance Analysis of Production and Safety Systems in Process Industry

Author / Organization:
Science & Mathematics Published 2017 Verification Pending

Overview & Synopsis

Production and safety systems are crucial in the process industry. Their performances affect significantly the industry interests. These systems have common behaviors. Such behaviors can be captured in models via modeling patterns. By reusing modeling patterns, the modeling process can be simplified and made more efficient.In this thesis, we propose a versatile set of modeling patterns. They are classified according to their purpose, which reflects what a modeling pattern works for. Modeling patterns are exhibited as a catalog. Based on reviewing numerous production and safety systems, twenty-four (24) modeling patterns are introduced. Each pattern is illustrated with a set of structured items. We propose a pattern-based methodology for performance analysis of production and safety systems.To test the applicability of proposed modeling patterns, we conducted experimental studies on a set of production and safety systems. All systems are extracted from the literature. These systems are declared to cover most of modeling difficulties. Comparisons are performed between the results obtained using modeling patterns and those reported in the literature.

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Document Information

Document Title Modeling Patterns for Performance Analysis of Production and Safety Systems in Process Industry
Author / Organization Huixing Meng
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2017
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-189591
Original Source Link Visit Source Page on hal.science »