A framework and application for dynamic assessment of ship equipment based on multi-source data fusion and digital twins

IF 4.4 3区工程技术 Q2 ENGINEERING, MARINE

International Journal of Naval Architecture and Ocean Engineering Pub Date : 2026-01-01 Epub Date: 2026-02-12 DOI:10.1016/j.ijnaoe.2026.100746

Nanzhe Song, Shaojuan Su, Pengyao Yu, Hongda Wang

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引用次数: 0

Abstract

Addressing diagnostic challenges in complex marine environments (high humidity, high salinity, multi-source interference, diverse fault types), this study uses a marine centrifugal fan to construct an intelligent condition assessment framework integrating digital twin and multi-source heterogeneous sensing. Vibration, visual, and speed data are synchronised and mapped to a lightweight digital twin for dynamic state perception. A fusion strategy based on robust Mahalanobis distance and convolutional neural networks identifies six fault modes (weighted F1 = 0.9965). A visual detection model tailored for ship compartments achieves [email protected] of 0.861 (cracks) and 0.827 (corrosion). Multi-modal results enhance adaptability and robustness to offshore conditions. Interactive programs enable real-time monitoring and fault visualisation. Experiments confirm high diagnostic accuracy, fast response, and efficient deployment, supporting intelligent ship equipment condition management.

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基于多源数据融合和数字孪生的舰船装备动态评估框架及应用

针对复杂海洋环境（高湿、高盐度、多源干扰、多种故障类型）下的诊断挑战，本研究利用海洋离心风机构建了集成数字孪生和多源异构传感的智能状态评估框架。振动、视觉和速度数据是同步的，并映射到一个轻量级的数字双胞胎动态状态感知。基于鲁棒马氏距离和卷积神经网络的融合策略识别出6种故障模式（加权F1 = 0.9965）。为船舶舱室量身定制的视觉检测模型[email protected]达到0.861（裂缝）和0.827（腐蚀）。多模态结果增强了对海上条件的适应性和鲁棒性。交互式程序实现实时监控和故障可视化。实验验证了诊断准确性高、响应速度快、部署效率高，支持船舶设备状态智能管理。

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来源期刊

International Journal of Naval Architecture and Ocean Engineering ENGINEERING, MARINE-

CiteScore

4.90

自引率

4.50%

发文量

审稿时长

12 months

期刊介绍： International Journal of Naval Architecture and Ocean Engineering provides a forum for engineers and scientists from a wide range of disciplines to present and discuss various phenomena in the utilization and preservation of ocean environment. Without being limited by the traditional categorization, it is encouraged to present advanced technology development and scientific research, as long as they are aimed for more and better human engagement with ocean environment. Topics include, but not limited to: marine hydrodynamics; structural mechanics; marine propulsion system; design methodology & practice; production technology; system dynamics & control; marine equipment technology; materials science; underwater acoustics; ocean remote sensing; and information technology related to ship and marine systems; ocean energy systems; marine environmental engineering; maritime safety engineering; polar & arctic engineering; coastal & port engineering; subsea engineering; and specialized watercraft engineering.