Marine systems and equipment prognostics and health management: a systematic review from health condition monitoring to maintenance strategy

P Zhang, Z Gao, L Cao, F Dong, Y Zou, K Wang… - Machines, 2022 - mdpi.com
Prognostics and health management (PHM) is an essential means to optimize resource
allocation and improve the intelligent operation and maintenance (O&M) efficiency of marine …

Recent advancements in data-driven methodologies for the fault diagnosis and prognosis of marine systems: A systematic review

C Velasco-Gallego, BN De Maya, CM Molina… - Ocean …, 2023 - Elsevier
In recent years, there has been an interest increase in smart maintenance within the
ship** sector due to the benefits and opportunities associated with its implementation …

[HTML][HTML] RADIS: A real-time anomaly detection intelligent system for fault diagnosis of marine machinery

C Velasco-Gallego, I Lazakis - Expert Systems with Applications, 2022 - Elsevier
By enhancing data accessibility, the implementation of data-driven models has been made
possible to empower strategies in relation to O&M activities. Such models have been …

Development of condition-based maintenance strategy for fault diagnosis for ship engine systems

Ç Karatuğ, Y Arslanoğlu - Ocean Engineering, 2022 - Elsevier
Ship** effectively covers a large part of cargo transportation in the world in an economical
and reliable way. Thus, energy-efficient operation on ships is an essential subject to ensure …

An online data-driven fault diagnosis and thermal runaway early warning for electric vehicle batteries

Z Sun, Z Wang, P Liu, Z Qin, Y Chen… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
Battery fault diagnosis is crucial for stable, reliable, and safe operation of electric vehicles,
especially the thermal runaway early warning. Develo** methods for early failure …

[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection

MMH Imran, S Jamaludin, AFM Ayob, AAIM Ali… - Journal of Marine …, 2023 - mdpi.com
One of the biggest problems the maritime industry is currently experiencing is corrosion,
resulting in short and long-term damages. Early prediction and proper corrosion monitoring …

[HTML][HTML] Numerical methods for monitoring and evaluating the biofouling state and effects on vessels' hull and propeller performance: A review

I Valchev, A Coraddu, M Kalikatzarakis, R Geertsma… - Ocean …, 2022 - Elsevier
Monitoring and evaluating the biofouling state and its effects on the vessel's hull and
propeller performance is a crucial problem that attracts the attention of both academy and …

Big data analytics and machine learning of harbour craft vessels to achieve fuel efficiency: A review

ZY Tay, J Hadi, F Chow, DJ Loh… - Journal of Marine Science …, 2021 - mdpi.com
The global greenhouse gas emitted from ship** activities is one of the factors contributing
to global warming; thus, there is an urgent need to mitigate the adverse effect of climate …

Explainable anomaly detection framework for maritime main engine sensor data

D Kim, G Antariksa, MP Handayani, S Lee, J Lee - Sensors, 2021 - mdpi.com
In this study, we proposed a data-driven approach to the condition monitoring of the marine
engine. Although several unsupervised methods in the maritime industry have existed, the …

A critical review of artificial intelligence in mineral concentration

A Gomez-Flores, S Ilyas, GW Heyes, H Kim - Minerals Engineering, 2022 - Elsevier
Although various articles have reviewed the application of artificial intelligence (AI) in froth
flotation (summarized in this article), other unit operations for mineral concentration in …