An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical Systems Article Swipe
Thomas James Byrne
,
Aleksandr Doikin
,
Felician Campean
,
Daniel Neagu
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1017/dsi.2019.365
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.1017/dsi.2019.365
Advancing Industry 4.0 concepts by mapping the product of the automotive industry on the spectrum of Cyber Physical Systems, we immediately recognise the convoluted processes involved in the design of new generation vehicles. New technologies developed around the communication core (IoT) enable novel interactions with data. Our framework employs previously untapped data from vehicles in the field for intelligent vehicle health management and knowledge integration into design. Firstly, the concept of an inter-disciplinary artefact is introduced to support the dynamic alignment of disparate functions, so that cyber variables change when physical variables change. Secondly, the axiomatic categorisation (AC) framework simulates functional transformations from artefact to artefact, to monitor and control automotive systems rather than components. Herein, an artefact is defined as a triad of the physical and engineered component, the information processing entity, and communication devices at their interface. Variable changes are modelled using AC, in conjunction with the artefacts, to aggregate functional transformations within the conceptual boundary of a physical system of systems.
Related Topics
Concepts
Cyber-physical system
Automotive industry
Computer science
Axiomatic design
Component (thermodynamics)
Field (mathematics)
Axiom
Interface (matter)
Variable (mathematics)
Disparate system
Systems engineering
Human–computer interaction
Engineering
Database
Mathematics
Geometry
Pure mathematics
Bubble
Thermodynamics
Operating system
Physics
Aerospace engineering
Parallel computing
Operations management
Lean manufacturing
Mathematical analysis
Maximum bubble pressure method
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1017/dsi.2019.365
- https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4403FA97871380991A5BE7CFBAE9118A/S2220434219003652a.pdf/div-class-title-an-axiomatic-categorisation-framework-for-the-dynamic-alignment-of-disparate-functions-in-cyber-physical-systems-div.pdf
- OA Status
- bronze
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2965759984
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2965759984Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1017/dsi.2019.365Digital Object Identifier
- Title
-
An Axiomatic Categorisation Framework for the Dynamic Alignment of Disparate Functions in Cyber-physical SystemsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-07-01Full publication date if available
- Authors
-
Thomas James Byrne, Aleksandr Doikin, Felician Campean, Daniel NeaguList of authors in order
- Landing page
-
https://doi.org/10.1017/dsi.2019.365Publisher landing page
- PDF URL
-
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4403FA97871380991A5BE7CFBAE9118A/S2220434219003652a.pdf/div-class-title-an-axiomatic-categorisation-framework-for-the-dynamic-alignment-of-disparate-functions-in-cyber-physical-systems-div.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
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https://www.cambridge.org/core/services/aop-cambridge-core/content/view/4403FA97871380991A5BE7CFBAE9118A/S2220434219003652a.pdf/div-class-title-an-axiomatic-categorisation-framework-for-the-dynamic-alignment-of-disparate-functions-in-cyber-physical-systems-div.pdfDirect OA link when available
- Concepts
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Cyber-physical system, Automotive industry, Computer science, Axiomatic design, Component (thermodynamics), Field (mathematics), Axiom, Interface (matter), Variable (mathematics), Disparate system, Systems engineering, Human–computer interaction, Engineering, Database, Mathematics, Geometry, Pure mathematics, Bubble, Thermodynamics, Operating system, Physics, Aerospace engineering, Parallel computing, Operations management, Lean manufacturing, Mathematical analysis, Maximum bubble pressure methodTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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23Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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