Aug 2026· Journal for Maritime Research· pp. 273-280· 0 citations
Abstract
Precise assessing of marine engine performance under dynamic load circumstances is significant for modern marine vessels to ensure fuel efficiency, operational dependability and preventative maintenance. In this paper a Robust Heterogeneous Graph Transformer Network (HGTN) is proposed for predicting marine engine performance under dynamic load variations. The raw data incorporates load-dependent indicators, engine log histories, and raw high-frequency sensor readings. The heterogeneous graph nodes characterize engine subsystems, operational parameters; edges encode their correlations and dynamic connections. The HGTN uses multi-type attention and adaptive meta-path learning to capture nonlinear effects arising from fuel injection variability, turbocharger dynamics, thermal fluctuations, and shaft load changes. The proposed HGTN technique accurately predicts brake power, SFOC, exhaust temperature, and vibration signatures, attaining an MSE of 0.0052, RMSE of 0.0719, MAE of 0.032, and R² of 98%. Results confirm the structure efficiency in identifying performance degradation and improving engine tuning strategies.
This paper presents a multi-source parameter dataset for the predictive health management (PHM) of marine diesel engines, addressing the scarcity of fault data arising from the prohibitive cost of destructive fault experiments aboard real vessels. Covering load conditions from 25% to 100% of full load, the dataset co...
Accurate wind forecasting is critical to ensure stable and efficient integration of renewable energy resources in modern power systems. However, the inherent variability and non-stationarity of wind pose a significant forecasting problem for modern power system operators to ensure power system stability. A new hybrid f...
Heshan Senapriya, Sakun Rasilka, D. P. Wadduwage· Moratuwa Engineering Researc...· 0 citations
The problem of reactive power compensation in AC traction power supply systems is critical for ensuring energy efficiency, voltage stability, and power quality. Traditional compensation methods often lack the adaptability required to handle the highly dynamic and non-linear loads characteristic of electric railway netw...
M. Shpilievyi· System Research in Energy· 0 citations
When a heavy-duty internal combustion engine adopts electric turbo-compounding for waste heat recovery, forming a hybrid waste heat recovery system, predicting its output power becomes extremely difficult due to the system’s strong nonlinearity, multi-timescale dynamic characteristics, and complex coupling relationsh...
Zheng-Ling Lei, Bin Liu, Fang Wang et al.· Proceedings of the Instituti...· 0 citations
To proactively identify performance anomaly evolution and potential operational risks of marine main engines and reserve a sufficient time window for maintenance intervention, this paper proposes a data-driven multi-algorithm fusion framework for performance evaluation and anomaly early warning of marine main engines....
Yong-Li Luan, Sheng-Li Dong, Meng-Ni Zhou et al.· Journal of Marine Science an...· 0 citations
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