Recent Advances on Intelligent Maintenance and Health Management in Ocean Engineering

Dear Colleagues,

With the rapid advancement of sensing technology, information technology, and decision theory, the engineering systems within the domain of ocean engineering are progressively becoming increasingly intricate. The levels of integration and intelligence of these systems continue to advance, resulting in escalating costs in terms of design, production, and particularly maintenance and assurance. Concurrently, owing to the surge in the number of components and influencing factors, the likelihood of faults and functional failures is gradually also rising. Consequently, the focus of researchers has shifted towards the intelligent maintenance and health management of ocean engineering equipment.

Grounded in considerations of the reliability, safety, and economy of complex systems, there is a growing emphasis on the application of fault prediction and health management strategies. Prognostics and health management (PHM), as an emerging interdisciplinary field and comprehensive set of technologies, is spearheading a transformative phase in the maintenance of and support systems for such equipment. Developing the intelligent maintenance of equipment can ensure the secure, stable, and reliable operation of ocean engineering equipment, enhancing personnel safety and manufacturing sector production efficiency and yielding tangible economic and social benefits.

In recent years, with the swift evolution of artificial intelligence technology and its remarkable advantages in feature extraction, knowledge learning, and intelligence, new avenues have been paved for intelligent operation, maintenance, and health management. The integration of artificial intelligence algorithms into research on intelligent maintenance and health management has achieved remarkable strides.

The Special Issue will provide a platform for researchers and practitioners to exchange their ideas and findings, discuss the latest developments, and explore future directions in the field of intelligent maintenance and health management in ocean engineering. Topics of interest include, but are not limited to:

• Fault diagnosis;
• Online monitoring technology;
• Fault prognosis and health management (PHM);
• Remaining useful life prediction;
• Maintenance optimization;
• Predictive maintenance schemes;
• Condition-based maintenance schemes;
• Uncertainty quantification and management in PHM;
• Reliability assessment;
• Reliability prediction;
• Risk analysis;
• Signals processing approaches;
• Condition state recognition.

Dr. Zengkai Liu
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Marine Science and Engineering is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• reliability of marine structures
• intelligent operation and maintenance
• risk assessment