Article(id=1254362832921879234, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, articleNumber=null, orderNo=null, doi=10.13788/j.cnki.cbgc.2026.03.10, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1756656000000, receivedDateStr=2025-09-01, revisedDate=1765900800000, revisedDateStr=2025-12-17, acceptedDate=null, acceptedDateStr=null, onlineDate=1776993004302, onlineDateStr=2026-04-24, pubDate=1774368000000, pubDateStr=2026-03-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1776993004302, onlineIssueDateStr=2026-04-24, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1776993004302, creator=13701087609, updateTime=1776993004302, updator=13701087609, issue=Issue{id=1254362823425974931, tenantId=1146029695717560320, journalId=1254119036117037056, year='2026', volume='48', issue='3', pageStart='1', pageEnd='190', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1776993002036, creator=13701087609, updateTime=1776993258606, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1254363899764077151, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1254363899764077152, tenantId=1146029695717560320, journalId=1254119036117037056, issueId=1254362823425974931, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=92, endPage=100, ext={EN=ArticleExt(id=1254362834364719838, articleId=1254362832921879234, tenantId=1146029695717560320, journalId=1254119036117037056, language=EN, title=Data Modeling of Marine Diesel Generator Sets Based on MLP, columnId=1254362833974661691, journalTitle=Ship Engineering, columnName=Ship Power, Propulsion Equipment and Auxiliary Equipment, runingTitle=null, highlight=null, articleAbstract=
[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.
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［目的］ 为提升船舶柴油发电机组仿真模型在突加、突卸等动态工况下的实时计算能力，解决传统机理模型在实船部署应用中存在计算复杂和动态响应实时性不足的问题，
［方法］ 提出一种基于物理机制启发的多层感知机（MLP）数据驱动建模方法。通过构建与柴油发电机电磁-机电暂态过程相映射的双隐藏层网络拓扑结构，实现对柴油发电机组直流母线电压和电流的协同快速计算。
［结果］ 该模型能有效捕捉柴油发电机组的非线性动态特性，在保持机理模型精度的同时提升计算效率。
［结论］ 研究成果为船舶电力系统的实时态势感知与智能管理提供可快速部署的技术支撑。
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本刊已许可中国学术期刊（光盘版）电子杂志社在中国知网及其系列数据库产品中以数字化方式复制、汇编、发行、信息网络传播本刊全文，本刊著作权使用费与本刊稿酬一并支付；本刊所刊登文章均无知识产权争议，不涉及泄露国家秘密、技术秘密或商业秘密。作者向本刊提交文章发表的行为即视为同意我编辑部上述声明，文责自负。, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=lCWP52YwwpJk4NOw6MmNUg==, magXml=4dRcNUjeoVduVq5F/MWQ6w==, pdfUrl=null, pdf=TmRnxpjTARXaX+eNV/rBBQ==, pdfFileSize=2046093, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=wAZVrpUAtUz6dSEXOfWTyQ==, mapNumber=null, authorCompany=null, fund=null, authors=
李时豪（1999—），男，硕士研究生。研究方向：船舶综合电力系统。
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李时豪（1999—），男，硕士研究生。研究方向：船舶综合电力系统。
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李时豪（1999—），男，硕士研究生。研究方向：船舶综合电力系统。
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