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Data Modeling of Marine Diesel Generator Sets Based on MLP
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Shihao LI, Yangting XIAO, Feng DING, Ronghui HU
Ship Engineering | 2026, 48(3) : 92 - 100
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Ship Engineering | 2026, 48(3): 92-100
Ship Power, Propulsion Equipment and Auxiliary Equipment
Data Modeling of Marine Diesel Generator Sets Based on MLP
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Shihao LI, Yangting XIAO, Feng DING, Ronghui HU
Affiliations
  • Shanghai Marine Equipment Research Institute, Shanghai 200031, China
Published: 2026-03-25 doi: 10.13788/j.cnki.cbgc.2026.03.10
Outline
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[Purpose]

To enhance the real-time computational capability of diesel generator set simulation models under dynamic conditions such as sudden load changes, and to address the issues of computational complexity and insufficient dynamic response timeliness in traditional mechanistic models during ship deployment,

[Method]

a physics-mechanism-inspired multilayer perceptron (MLP) data-driven modeling method is proposed. By constructing a dual-hidden-layer network topology mapped to the electromagnetic-electromechanical transient process of generators, the approach achieves coordinated rapid calculation of the DC bus voltage and current of diesel generator sets.

[Result]

The model effectively captures the nonlinear dynamic characteristics of diesel generator sets, improving computational efficiency while maintaining the accuracy of mechanistic models.

[Conclusion]

The research providing rapid-deployable technical support for real-time situational awareness and intelligent management of ship power systems.

marine generator  /  multi-layer perceptron (MLP)  /  data-driven modeling  /  multi-output regression
Shihao LI, Yangting XIAO, Feng DING, Ronghui HU. Data Modeling of Marine Diesel Generator Sets Based on MLP[J]. Ship Engineering, 2026 , 48 (3) : 92 -100 . DOI: 10.13788/j.cnki.cbgc.2026.03.10
Year 2026 volume 48 Issue 3
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Article Info
doi: 10.13788/j.cnki.cbgc.2026.03.10
  • Receive Date:2025-09-01
  • Online Date:2026-04-24
  • Published:2026-03-25
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History
  • Received:2025-09-01
  • Revised:2025-12-17
Affiliations
    Shanghai Marine Equipment Research Institute, Shanghai 200031, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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