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The role of semantic technologies in diagnostic and decision support for service systems

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conference contribution
posted on 29.09.2017 by Eleni Tsalapati, Tom Jackson, William Johnson, Lisa Jackson, Andrey Vasilyev, Andrew West, Lei Mao, Benjamin Davies
In this research, we utilize semantic technology for robust early diagnosis and decision support. We present a light-weight platform that provides the enduser with direct access to the data through an ontology, and enables detection of any forthcoming faults by considering the data only from the reliable sensors. Concurrently, it indicates the actual sources of the detected faults, enabling mitigation action to be taken. Our work is focused on systems that require only real-time data and a restricted part of the historic data, such as fuel cell stack systems. First, we present an upper-level ontology that captures the semantics of such monitored systems and then we present the structure of the platform. Next, we specialize on the fuel cell paradigm and we provide a detailed description of our platform’s functionality that can aid future servicing problem reporting applications.

History

School

  • Business and Economics

Department

  • Business

Published in

Hawaii International Conference on System Sciences

Citation

TSALAPATI, E. ... et al, 2018. The role of semantic technologies in diagnostic and decision support for service systems. Presented at the Hawaii International Conference on System Sciences (HICSS-51), Hawaii, 3rd-6th January 2018.

Publisher

University of Hawaii at Manoa © The Authors

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

14/09/2017

Publication date

2018

Notes

This is a conference paper.

Publisher version

Language

en

Location

Hawaii

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