The Role of Semantic Technologies in Diagnostic and Decision Support for Service Systems

Abstract

In this research, we utilize semantic technology for robust early diagnosis and decision support. We present a lightweight 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.

Enhancing polymer electrolyte membrane fuel cell system diagnostics through semantic modelling

“…This research extends the work conducted by Tsalapati et al (2018) in the following manner: 1. The PEMFC Monitoring ontology is: a) mapped to the "Sensor, Observation, Sample, and Actuator" (SOSA) ontology (Atkinson et al, 2017), which is endorsed by W3C, to establish a shareable and semantically strong ontology; b) extended to capture more details on the functionality and the specifications of the PEMFC stack and of the related sensors; c) extended to incorporate the full set of failure modes studied by Davies et al (2017), besides the water management issues; d) improved to enhance the automation of the diagnostic process; and 2.…”

Knowledge engineering for wind energy

“…3). The web of data vision carries a wealth of practical advantages such as creating knowledge bases (Noy et al, 2019) or providing the necessary technological foundations for the development of decision support systems (Tsalapati et al, 2018;Pease et al, 2020). This has shown early dividends across various industries.…”

Knowledge Engineering for Wind Energy

“…At the same time conceptualisations and abstractions form the foundation of the Semantic web technology stack (Figure 3). The web of data vision carries a wealth of practical advantages such as creating knowledge bases (Noy et al, 2019) or providing necessary technological foundation in the development of decision support systems (Tsalapati et al, 2018;Pease et al, 2020). This has shown early dividends across various industries.…”