The role of semantic technologies in diagnostic and decision support for service systems
Eleni Tsalapati
Tom Jackson
William Johnson
Lisa Jackson
Andrey Vasilyev
Andrew West
Lei Mao
Benjamin Davies
2134/26749
https://repository.lboro.ac.uk/articles/conference_contribution/The_role_of_semantic_technologies_in_diagnostic_and_decision_support_for_service_systems/9221243
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.
2017-09-29 10:17:59
untagged
Business and Management not elsewhere classified