NDLI: Integrating plant and process information as a basis for automated plant diagnosis tasks

Content Provider	IEEE Xplore Digital Library
Author	Arroyo, E. Fay, A. Chioua, M. Hoernicke, M.
Copyright Year	2014
Description	Author affiliation: ABB Corp. Res. Center, Ladenburg, Germany (Chioua, M.; Hoernicke, M.) \|\| Inst. of Autom. Technol., Helmut Schmidt Univ., Hamburg, Germany (Arroyo, E.; Fay, A.)
Abstract	Effective use of integrated process and plant knowledge may significantly increase the accuracy and reliability of automated plant diagnostics. State-of-the-art diagnosis methods, however, do not exploit the whole richness of information found in process facilities mainly due to the difficulties entailed for its collection and timely retrieval. In an effort to contribute towards the exploitation of such knowledge, this paper presents concepts to classify, integrate, and facilitate the access to relevant data as a basis for automated plant diagnosis tasks. The proposed integration is based on the Formalized Process Description Guideline VDI/VDE 3682 and comprises four fundamental information sources, namely plant connectivity, plant dimension specific-, plant component specific-, and process specific-knowledge. The resulting model is described in the data format CAEX/AutomationML, which allows for seamless and effective information exchange among different diagnostic tools. Further concepts for data access and visualization are presented in this contribution.
Starting Page	1
Ending Page	8
File Size	868557
Page Count	8
File Format	PDF
ISBN	9781479948451
DOI	10.1109/ETFA.2014.7005098
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-16
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object oriented modeling Data models Data visualization Pipelines Automation Guidelines Process control AutomationML automated plant diagnosis knowledge integration formalized process description
Content Type	Text
Resource Type	Article

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