Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines

Roxane Koitz, Johannes Lüftenegger, Franz Wotawa

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Abstract

Model-based diagnosis derives explanations for discrepancies between the expected and observed system behavior by relying on a formal representation of the artifact under consideration. Although its theoretical background has been established decades ago and various research prototypes have been implemented, industrial applications are sparse. This paper emphasizes the role of essential technology acceptance factors, i.e., usefulness and usability, within the context of model-based diagnosis. In particular, we develop a concept and interface design for an abductive model-based diagnosis application integrated into existing condition monitoring software for industrial wind turbines. This fault identification tool should enhance the performance of the maintenance personnel while respecting their current work processes, taking into account their particular needs, and being easy to use under the given work conditions. By employing an iterative design process, continuous feedback in regard to the users’ work goals, tasks, and patterns can be included, while also considering other stakeholders’ requirements. The result is a workflow and interface design proposal to be implemented in the final software product.
LanguageEnglish
Title of host publicationAdvances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I
EditorsSalem Benferhat, Karim Tabia, Moonis Ali
Place of PublicationCham
PublisherSpringer International Publishing AG
Pages440-445
Number of pages6
ISBN (Print)978-3-319-60042-0
DOIs
StatusPublished - 2017
EventThe 30th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems - Université d’Artois, Arras, France
Duration: 27 Jun 201730 Jun 2017
http://www.cril.univ-artois.fr/ieaaie2017/main/callforpaper/

Conference

ConferenceThe 30th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems
Abbreviated titleIEA-AIE
CountryFrance
CityArras
Period27/06/1730/06/17
Internet address

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Industrial applications
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Cite this

Koitz, R., Lüftenegger, J., & Wotawa, F. (2017). Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines. In S. Benferhat, K. Tabia, & M. Ali (Eds.), Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I (pp. 440-445). Cham: Springer International Publishing AG . https://doi.org/10.1007/978-3-319-60042-0_48

Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines. / Koitz, Roxane; Lüftenegger, Johannes; Wotawa, Franz.

Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I. ed. / Salem Benferhat; Karim Tabia; Moonis Ali. Cham : Springer International Publishing AG , 2017. p. 440-445.

Research output: Chapter in Book/Report/Conference proceedingChapterResearchpeer-review

Koitz, R, Lüftenegger, J & Wotawa, F 2017, Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines. in S Benferhat, K Tabia & M Ali (eds), Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I. Springer International Publishing AG , Cham, pp. 440-445, The 30th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems, Arras, France, 27/06/17. https://doi.org/10.1007/978-3-319-60042-0_48
Koitz R, Lüftenegger J, Wotawa F. Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines. In Benferhat S, Tabia K, Ali M, editors, Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I. Cham: Springer International Publishing AG . 2017. p. 440-445 https://doi.org/10.1007/978-3-319-60042-0_48
Koitz, Roxane ; Lüftenegger, Johannes ; Wotawa, Franz. / Model-Based Diagnosis in Practice: Interaction Design of an Integrated Diagnosis Application for Industrial Wind Turbines. Advances in Artificial Intelligence: From Theory to Practice: 30th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2017, Arras, France, June 27-30, 2017, Proceedings, Part I. editor / Salem Benferhat ; Karim Tabia ; Moonis Ali. Cham : Springer International Publishing AG , 2017. pp. 440-445
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