Author
Listed:
- Yukuo Guo
(School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China)
- Ruiping Zhou
(School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China)
- Jiashun Dai
(School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China)
Abstract
To address the heat transfer degradation caused by fouling and dust accumulation on the stator windings of marine diesel generators, this study proposes a health condition assessment method based on the convective heat transfer coefficient. A numerical analysis model was developed using the Ansys Fluent platform to systematically investigate the effects of ambient temperature, load power, and fouling layer thickness on the stator winding temperature and convective heat transfer coefficient. The results demonstrate that the convective heat transfer coefficient is highly sensitive to variations in fouling layer thickness. On this basis, a health assessment model centered on the convective heat transfer coefficient was established and validated using experimental data from diesel generator tests. The results show that the proposed model accurately captures the performance degradation process and enables quantitative classification of operating states, including healthy, sub-healthy, degraded, and abnormal conditions. This research provides a feasible theoretical foundation and technical approach for the intelligent monitoring and condition evaluation of marine diesel generators, offering significant engineering value for enhancing the efficiency and reliability of marine power systems.
Suggested Citation
Yukuo Guo & Ruiping Zhou & Jiashun Dai, 2025.
"Research on the Condition Assessment Method for Marine Diesel Generators Considering the Effects of Fouling and Dust Deposition,"
Mathematics, MDPI, vol. 13(23), pages 1-18, November.
Handle:
RePEc:gam:jmathe:v:13:y:2025:i:23:p:3767-:d:1801464
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