Internet of ships: A survey on architectures, emerging applications, and challenges
The recent emergence of Internet-of-Things (IoT) technologies in mission-critical
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …
applications in the maritime industry has led to the introduction of the Internet-of-Ships (IoS) …
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 …
Machine learning models for predicting ship main engine Fuel Oil Consumption: A comparative study
Abstract As Fuel Oil Consumption (FOC) constitutes over 25% of a vessel's overall operating
cost, its accurate forecasting, and the reliable prediction of the relevant ship operating …
cost, its accurate forecasting, and the reliable prediction of the relevant ship operating …
Machine learning approach to ship fuel consumption: A case of container vessel
An improvement of the marine vessel's fuel consumption will provide efficiency and
profitability in ship management since fuel cost is one of the biggest operating cost …
profitability in ship management since fuel cost is one of the biggest operating cost …
[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 …
Fault detection and diagnostic method of diesel engine by combining rule-based algorithm and BNs/BPNNs
The stable operation of diesel engine is critical to the normal production of the industry, and
the prevention, monitoring, and identification of faults are of great significance. At present …
the prevention, monitoring, and identification of faults are of great significance. At present …
Machine learning and data-driven fault detection for ship systems operations
Well maintained vessels exhibit high reliability, safety and energy efficiency. Even though
machinery failures are inevitable, their occurrence can be foreseen when predictive …
machinery failures are inevitable, their occurrence can be foreseen when predictive …
Real-time data-driven missing data imputation for short-term sensor data of marine systems. A comparative study
In the maritime industry, sensors are utilised to implement condition-based maintenance
(CBM) to assist decision-making processes for energy efficient operations of marine …
(CBM) to assist decision-making processes for energy efficient operations of marine …
Multi-label classification for simultaneous fault diagnosis of marine machinery: a comparative study
Y Tan, J Zhang, H Tian, D Jiang, L Guo, G Wang… - Ocean …, 2021 - Elsevier
Fault diagnosis of marine machinery is of utmost importance in modern ships. The widely
used machine learning techniques have made it possible to realize intelligent diagnosis by …
used machine learning techniques have made it possible to realize intelligent diagnosis by …