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 …
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
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 …
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
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 …
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
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 …
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
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 …
especially the thermal runaway early warning. Develo** methods for early failure …
[HTML][HTML] Application of artificial intelligence in marine corrosion prediction and detection
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 …
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
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 …
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 …
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
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 …
engine. Although several unsupervised methods in the maritime industry have existed, the …
A critical review of artificial intelligence in mineral concentration
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 …
flotation (summarized in this article), other unit operations for mineral concentration in …