Article
Version 1
Preserved in Portico This version is not peer-reviewed
Model-Based Condition Monitoring of Modular Process Plants
Version 1
: Received: 10 August 2023 / Approved: 10 August 2023 / Online: 11 August 2023 (08:05:07 CEST)
A peer-reviewed article of this Preprint also exists.
Wetterich, P.; Kuhr, M.M.G.; Pelz, P.F. Model-Based Condition Monitoring of Modular Process Plants. Processes 2023, 11, 2733. Wetterich, P.; Kuhr, M.M.G.; Pelz, P.F. Model-Based Condition Monitoring of Modular Process Plants. Processes 2023, 11, 2733.
Abstract
The process industry is confronted with rising demands for flexibility and efficiency. One way to achieve this are modular process plants that consist of pre-manufactured modules with their own decentralized intelligence. Plants are then composed of these modules as unchangeable building blocks and can be easily re-configured for different products. Condition monitoring of such plants is necessary, but available solutions are not applicable. The authors suggest an approach in which model-based symptoms are derived from few measurements and observers that are based on manufacturer knowledge. The comparisons of redundant observers lead to residuals that are classified to obtain symptoms. These symptoms can be communicated to the plant control and are inputs to an easily adaptable diagnosis. The implementation and validation at a modular mixing plant showcases the feasibility and the potential of this approach.
Keywords
condition monitoring; soft sensors; fault diagnosis; modularization
Subject
Engineering, Control and Systems Engineering
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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