Research on the Condition Assessment Method for Marine Diesel Generators Considering the Effects of Fouling and Dust Deposition

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.

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Publication Details

Journal
Mathematics
Published
2025-11-24
DOI
https://doi.org/10.3390/math13233767
Primary Topic
Wind Energy Research and Development
Type
article
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article

Research on the Condition Assessment Method for Marine Diesel Generators Considering the Effects of Fouling and Dust Deposition

Ruiping Zhou, Jiashun Dai, Yukuo Guo
Mathematics
Wind Energy Research and Development
article

Research on the Condition Assessment Method for Marine Diesel Generators Considering the Effects of Fouling and Dust Deposition

Ruiping Zhou, Jiashun Dai, Yukuo Guo
article en

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.

MathematicsVol. 13(23)
Wuhan University of Technology (CN)
Openalex Percentile: Top 53%
Wind Energy Research and Development
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