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

Majdani, Farzan; Petrovski, Andrei; Doolan, Daniel

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.

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

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 17th International engineering applications of neural networks conference (EANN 2016)
• 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
• Print ISSN: 1865-0929
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Volume: 629
• Pages: 198-210
• Series Title: Communications in computer and information science
• Series Number: 629
• Series ISSN: 1865-0929
• ISBN: 9783319441870
• DOI: https://doi.org/10.1007/978-3-319-44188-7_15
• Keywords: Context awareness; Cyber physical system; Asset integrity
• Public URL: http://hdl.handle.net/10059/2359
• Contract Date: Jun 6, 2017