Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment.
Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel
An adaptive multi-tiered framework, which can be utilised for designing a context-aware cyber physical system is proposed and applied within the context of assuring offshore asset integrity. Adaptability is achieved through the combined use of machine learning and computational intelligence techniques. The proposed framework has the generality to be applied across a wide range of problem domains requiring processing, analysis and interpretation of data obtained from heterogeneous resources.
MAJDANI, F., PETROVSKI, A. and DOOLAN, D. 2016. Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment. In Jayne, C. and Iliadis, L. (eds.) Engineering applications of neural networks: proceedings of the 17th International engineering applications of neural networks conference (EANN 2016), 2-5 September 2016, Aberdeen, UK. Communications in computer and information science, 629. Cham: Springer [online], pages 198-210. Available from: https://doi.org/10.1007/978-3-319-44188-7_15
|Conference Name||17th International engineering applications of neural networks conference (EANN 2016)|
|Conference Location||Aberdeen, UK|
|Start Date||Sep 2, 2016|
|End Date||Sep 5, 2016|
|Acceptance Date||Jun 5, 2016|
|Online Publication Date||Aug 19, 2016|
|Publication Date||Sep 30, 2016|
|Deposit Date||Jun 6, 2017|
|Publicly Available Date||Jun 6, 2017|
|Series Title||Communications in computer and information science|
|Keywords||Context awareness; Cyber physical system; Asset integrity|
MAJDANI 2016 Designing a context-aware
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