On Line Fault Detection And Supervision In The Chemical Process Industries 1995


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On-line Fault Detection and Supervision in the Chemical Process Industries, 1995


On-line Fault Detection and Supervision in the Chemical Process Industries, 1995

Author: A. J. Morris

language: en

Publisher: Pergamon

Release Date: 1996


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Paperback. These proceedings contain the papers from the IFAC Workshop on On-Line Fault Detection and Supervision in the Chemical Process Industries held in Newcastle-upon-Tyne, UK, 12-13 June 1995. The Workshop provided an ideal forum for academic and industrial researchers to discuss their experience and research results in this field. Topics covered included: Multivariate Methods, Neural Network Approaches, Supervision, Control & Diagnosis, Expert Systems, Learning & Dependable Systems, Performance & Fault Detection, Model Based Systems and Applications.

On-Line Fault Detection and Supervision in the Chemical Process Industries


On-Line Fault Detection and Supervision in the Chemical Process Industries

Author: P.S. Dhurjati

language: en

Publisher: Pergamon

Release Date: 1993-04-13


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The papers presented at this Symposium were grouped into five major sections: Strategies for the detection and diagnosis of process faults; Modeling, validation, and interpretation of process trends; Supervision and control of chemical plants; Neural networks in process supervision and fault diagnosis. Industrial applications in process supervision and fault diagnosis; The fifty-two papers in this volume cover both theoretical and practical/implementational aspects of systems in the process control industry.

On-Line Fault Detection and Supervision in the Chemical Process Industries


On-Line Fault Detection and Supervision in the Chemical Process Industries

Author: P.S. Dhurjati

language: en

Publisher: Pergamon

Release Date: 1993-04-13


DOWNLOAD





The papers presented at this Symposium were grouped into five major sections: Strategies for the detection and diagnosis of process faults; Modeling, validation, and interpretation of process trends; Supervision and control of chemical plants; Neural networks in process supervision and fault diagnosis. Industrial applications in process supervision and fault diagnosis; The fifty-two papers in this volume cover both theoretical and practical/implementational aspects of systems in the process control industry.