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Designing a context-aware cyber physical system for smart conditional monitoring of platform equipment.

Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel

Authors

Farzan Majdani

Andrei Petrovski

Daniel Doolan



Contributors

Chrisina Jayne
Editor

Lazaros Iliadis
Editor

Abstract

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.

Start Date Sep 2, 2016
Publication Date Sep 30, 2016
Print ISSN 1865-0929
Publisher Springer (part of Springer Nature)
Pages 198-210
Series Title Communications in computer and information science
Series Number 629
Series ISSN 1865-0929
ISBN 9783319441870
Institution Citation 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
DOI https://doi.org/10.1007/978-3-319-44188-7_15
Keywords Context awareness; Cyber physical system; Asset integrity

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