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pro vyhledávání: '"Dowdeswell, Barry"'
Publikováno v:
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society (IECON2020). IEEE Computer Society Press, pp.2183-2188
Integrating the design and creation of fault identification and diagnostic capabilities into Model-Driven Development methodologies is one approach to enhancing the resilience of Industrial Cyber-Physical Systems. We present a Fault Diagnostic Engine
Externí odkaz:
http://arxiv.org/abs/2105.03909
Publikováno v:
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society (IECON2020). IEEE Computer Society Press, pp.2189-2194
We have come to rely on industrial-scale cyber-physical systems more and more to manage tasks and machinery in safety-critical situations. Efficient, reliable fault identification and management has become a critical factor in the design of these inc
Externí odkaz:
http://arxiv.org/abs/2105.03851
Context: As Industrial Cyber-Physical Systems (ICPS) become more connected and widely-distributed, often operating in safety-critical environments, we require innovative approaches to detect and diagnose the faults that occur in them. Objective: We p
Externí odkaz:
http://arxiv.org/abs/2101.05451
Publikováno v:
In The Journal of Systems & Software October 2020 168
Akademický článek
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Autor:
Dowdeswell, Barry1 (AUTHOR) barry.dowdeswell@aut.ac.nz, Sinha, Roopak1 (AUTHOR), MacDonell, Stephen G.1 (AUTHOR)
Publikováno v:
Future Internet. Aug2021, Vol. 13 Issue 8, p190. 1p.
Publikováno v:
ACM Transactions on Cyber-Physical Systems; December 2018, Vol. 3 Issue: 2 p1-25, 25p
Publikováno v:
2015 IEEE Conference on Computer Vision & Pattern Recognition Workshops (CVPRW); 2015, p1257-1262, 6p
Publikováno v:
Trends in Enterprise Application Architecture; 2006, p56-70, 15p
Publikováno v:
IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society; 2015, p002172-002177, 6p