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Design of fault simulator
Authors:Hossam A Gabbar  Hanaa E Sayed  Hara Masanobu
Affiliation:a Faculty of Energy Systems and Nuclear Science, University of Ontario Institute of Technology (UOIT), Ontario, Canada L1H 7K4
b Okayama University, Graduate School of Natural Science and Technology, Division of Industrial Innovation Sciences Department of Intelligent Systems Engineering, Okayama 700-8530, Japan
c AspenTech Japan Co., Ltd., Kojimachi Crystal City 10F, Kojimachi, Chiyoda-ku, Tokyo 102-0083, Japan
Abstract:Fault simulator is proposed to understand and evaluate all possible fault propagation scenarios, which is an essential part of safety design and operation design and support of chemical/production processes. Process models are constructed and integrated with fault models, which are formulated in qualitative manner using fault semantic networks (FSN). Trend analysis techniques are used to map real time and simulation quantitative data into qualitative fault models for better decision support and tuning of FSN. The design of the proposed fault simulator is described and applied on experimental plant (G-Plant) to diagnose several fault scenarios. The proposed fault simulator will enable industrial plants to specify and validate safety requirements as part of safety system design as well as to support recovery and shutdown operation and disaster management.
Keywords:Fault simulation  Fault semantic network (FSN)  POOM  Fault diagnosis  G-Plant  Quantitative and qualitative fault propagation analysis
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