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Model-Based Condition Monitoring of Modular Process Plants

Wetterich, Philipp ; Kuhr, Maximilian M. G. ; Pelz, Peter F. (2024)
Model-Based Condition Monitoring of Modular Process Plants.
In: Processes, 2023, 11 (9)
doi: 10.26083/tuprints-00026446
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Model-Based Condition Monitoring of Modular Process Plants
Language: English
Date: 5 February 2024
Place of Publication: Darmstadt
Year of primary publication: 2023
Place of primary publication: Basel
Publisher: MDPI
Journal or Publication Title: Processes
Volume of the journal: 11
Issue Number: 9
Collation: 15 Seiten
DOI: 10.26083/tuprints-00026446
Corresponding Links:
Origin: Secondary publication service

The process industry is confronted with rising demands for flexibility and efficiency. One way to achieve this is modular process plants, which 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 the available solutions are not applicable. The authors of this paper suggest an approach in which model-based symptoms are derived from a few measurements and observers that are based on the manufacturer’s 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 showcase the feasibility and potential of this approach.

Uncontrolled Keywords: condition monitoring, soft sensors, fault diagnosis, modularization
Identification Number: Artikel-ID: 2733
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-264468
Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 16 Department of Mechanical Engineering > Institute for Fluid Systems (FST) (since 01.10.2006)
Date Deposited: 05 Feb 2024 10:39
Last Modified: 12 Feb 2024 10:22
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/26446
PPN: 515466018
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