Supervision and Control for Industrial Processes

Using Grey Box Models, Predictive Control and Fault Detection Methods

Document identifier: oai:dalea.du.se:2662
Keyword: Grey Box Modelling, Supervision, Failure Detection, Process Industry
Publication year: 1998
Relevant Sustainable Development Goals (SDGs):
SDG 9 Industry, innovation and infrastructure
The SDG label(s) above have been assigned by OSDG.ai

Abstract:

Within the process industry, many economic benefits can be achieved by controlling industrial processes at a supervisory level. From an engineering viewpoint, this means using increasingly sophisticated techniques and state-of-the-art theory to optimise process through put and deliver ever more exacting property specifications. Supervision and Control for Industrial Processes considers ways of improving and developing processes using these new methods. In particular, the book demonstrates the use of the grey box modelling method to find an appropriate process model which can be used for control, fault detection and isolation at a supervisory level. This publication will be of particular interest to engineers and graduate students involved in the areas of process control, supervision of industrial processes and failure diagnosis.

Authors

Björn Sohlberg

Högskolan Dalarna; Elektroteknik
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