On-line Fault Detection and Supervision in the Chemical Process Industries, 2001: (CHEMFAS-4) : a Proceedings Volume from the 4th IFAC Workshop, Jejudo Island, Korea, 7-8 June 2001G. Stephanopoulos, José Alberto Romagnoli, En Sup Yoon This proceedings contains papers from the IFAC Symposium on On-line Fault Detection and Supervision in the Chemical Process Industries (CHEMFAS-4), held in Jejudo Island, Korea, 7-8 June 2001. The proceedings includes theoretical contributions, as well as a wide range of industrial applications in process fault diagnosis, monitoring, and advanced supervision. The papers are organized around the following themes: fault detection and diagnosis, statistical and trend analysis, methodologies, sensor location and data reconciliation and applications. The driving forces for on-line fault detection and improved supervision of process operation include human safety, environmental safeguards, and equipment protection, as well as economic considerations such as the improvement of product quality, increased production, and so on. These diverse incentives, together with the development and evaluation of novel methodologies for on-line process supervision and management, form the focus of the symposium and of the papers in this Proceedings. Altogether over 60 papers are presented, covering strategies including model-based and data-driven approaches, as well as knowledge-based systems, statistical techniques, and AI-based pattern recognition techniques. All the work presented is at the cutting edge of research in this dynamic field. |
Contents
Past Present and Future | 1 |
VENKATASUBRAMANIAN | 11 |
HAN Y H | 27 |
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AIChE alarm system algorithm application approach Bagajewicz bond graph calculated calibration causal Chem Chemical Process Industries Comput constraints control loop correlation corresponding cost data reconciliation detection and isolation Detection and Supervision developed deviation dynamic equations estimation evaluated fault detection fault diagnosis fault resolution Figure filter flow rate function fuzzy gate-variable heat transfer coefficient identify IFAC Publications www.elsevier.com/locate/ifac input inside film Jejudo Jejudo Island Keywords Korea leak linear matrix measurements method multivariate statistical neural network node noise nonlinear normal observability obtained On-Line Fault Detection operation optimal output parameters performance plant prediction principal component analysis principal curves problem procedure process fault process variables proposed reactor redundancy Rengaswamy residual sample sensor faults sensor location sensor network set cover problem signal simulation six sigma solution statistical process control tank techniques temperature trend tube valve vector Venkatasubramanian