Ontology Engineering Applications in Healthcare and Workforce Management Systems

Forbes, David; Wongthongtham, Pornpit; Terblanche, Chamonix; Pakdeetrakulwong, Udsanee

doi:10.1007/978-3-319-65012-8

Cited by 5 publications

(1 citation statement)

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“…Ontologies have a wide range of applications and have been successfully applied to measure health and safety risks [27], engineer healthcare and workforce management systems [28], develop software server architectures [29] and emergency event models [30], as a database for gene clustering [31], and to represent multimedia data [32]. No application of blade defects is apparent in the literature.…”

Section: Approachmentioning

confidence: 99%

Taxonomy of Gas Turbine Blade Defects

Aust

Pons

2019

Aerospace

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Context—The maintenance of aero engines is intricate, time-consuming, costly and has significant functional and safety implications. Engine blades and vanes are the most rejected parts during engine maintenance. Consequently, there is an ongoing need for more effective and efficient inspection processes. Purpose—This paper defines engine blade defects, assigns root-causes, shows causal links and cascade effects and provides a taxonomy system. Approach—Defect types were identified from the literature and maintenance manuals, categorisations were devised and an ontology was created. Results—Defect was categorised into Surface Damage, Wear, Material Separation and Material Deformation. A second categorisation identified potential causes of Impact, Environmental causes, Operational causes, Poor maintenance, Poor manufacturing and Fatigue. These two categorisations were integrated with an ontology. Originality—The work provides a single comprehensive illustrated list of engine blade defects, and a standardised defect terminology, which currently does not exist in the aviation industry. It proposes a taxonomy for both engine blade defects and root-causes, and shows that these may be related using an ontology.

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Section: Approachmentioning

confidence: 99%

Taxonomy of Gas Turbine Blade Defects

Aust

Pons

2019

Aerospace

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OntoCPS4PMS: Ontology modeling for collaborative cyber‐physical threat defense in power monitoring system

Teng,

Yang,

Wang

et al. 2024

Systems Engineering

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Given the deep interconnection between information and physical aspects of power systems, escalating cyber‐attacks pose significant threats to both grid information systems and electrical equipment. The context highlights the importance of risk perception and defense mechanisms in information and functional security for Power Monitoring System (PMS). To address this, we introduce an innovative ontology framework designed for comprehensive cyber‐physical security in PMS (OntoCPS4PMS). OntoCPS4PMS identifies risks from cross‐domain attacks and supports a collaborative defense strategy. It offers a multifaceted assessment method for PMS security events, considering vulnerabilities, cyber‐attack impacts, and physical domain risks. Through simulated PMS attack scenarios, we validate the framework's effectiveness in dynamic cyber‐physical security analysis. The results demonstrate OntoCPS4PMS's ability to trace attacks, locate affected equipment, and recommend mitigation measures, confirming its utility in enhancing PMS security and decision‐making.

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