Mohammad Fadzil, Najwa;
Fakri Muda, Mohd;
Abdul Shahid, Muhammad Daniel;
Azani Mustafa, Wan;
Hairil Mohd, Mohd;
Paik, Jeom Kee;
Mohd Hashim, Mohd Hisbany;
(2024)
Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review.
Ships and Offshore Structures
10.1080/17445302.2024.2424320.
(In press).
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Abstract
Offshore pipelines face severe environmental and operational challenges, leading to deterioration issues like corrosion and fatigue cracking. Such degradation risks casualties, property damage, and marine pollution, underscoring the need for robust lifetime healthcare. Digital healthcare engineering (DHE) systems offer a proactive approach to managing these risks through digital twins, AI, and advanced communication technologies. DHE systems include five key modules: (1) on-site health monitoring, (2) data transmission to analytics centers, (3) digital twin-based data analytics, (4) AI-based diagnosis and recommendations, and (5) predictive health assessments for maintenance. Sensor-equipped devices measure pipeline conditions onsite, with LEO satellites supporting real-time data transfer. AI models enable diagnosis and maintenance predictions based on accumulated health data and similar environmental cases. This paper aims to review recent advances and challenges in DHE systems, with a particular focus on their application to aging offshore pipelines, and to explore practical solutions for these challenges.
| Type: | Article |
|---|---|
| Title: | Digital healthcare engineering for aging offshore pipelines: a state-of-the-art review |
| DOI: | 10.1080/17445302.2024.2424320 |
| Publisher version: | https://doi.org/10.1080/17445302.2024.2424320 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Digital healthcare engineering; aging offshore pipelines; lifetime healthcare; in-service damages; AI-driven diagosis and remedial action recommendations |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10200182 |
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