| 殷文慧,郭栋,王飞,郭煜,张安通.面向小型无人艇健康监测系统方案设计与实施[J].装备环境工程,2023,20(9):160-168. YIN Wen-hui,GUO Dong,WANG Fei,GUO Yu,ZHANG An-tong.Scheme Design and Implementation for Health Monitoring Systems of Small Unmanned Surface Vehicles[J].Equipment Environmental Engineering,2023,20(9):160-168. |
| 面向小型无人艇健康监测系统方案设计与实施 |
| Scheme Design and Implementation for Health Monitoring Systems of Small Unmanned Surface Vehicles |
| 投稿时间：2023-06-14 修订日期：2023-08-31 |
| DOI：10.7643/issn.1672-9242.2023.09.018 |
| 中文关键词: 小型无人艇 健康管理 健康监测系统 方案设计 传感器部署 数据预处理中图分类号:U664.1 文献标识码:A 文章编号:1672-9242(2023)09-0160-09 |
| 英文关键词:small unmanned surface vehicles health management health monitoring system scheme design sensor deployment data preprocessing |
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| Author | Institution |
| YIN Wen-hui | China Ship Scientific Research Center, Jiangsu Wuxi, 214082, China;Taihu Laboratory of Deepsea Technological Science, Jiangsu Wuxi, 214100, China |
| GUO Dong | China Ship Scientific Research Center, Jiangsu Wuxi, 214082, China |
| WANG Fei | China Ship Scientific Research Center, Jiangsu Wuxi, 214082, China;Taihu Laboratory of Deepsea Technological Science, Jiangsu Wuxi, 214100, China |
| GUO Yu | China Ship Scientific Research Center, Jiangsu Wuxi, 214082, China;Taihu Laboratory of Deepsea Technological Science, Jiangsu Wuxi, 214100, China |
| ZHANG An-tong | China Ship Scientific Research Center, Jiangsu Wuxi, 214082, China;Taihu Laboratory of Deepsea Technological Science, Jiangsu Wuxi, 214100, China |
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| 中文摘要: |
| 详细阐述了小型无人艇健康监测系统的设计与实施过程。首先，分析了小型无人艇健康管理的特性及所面临的挑战，确定了以动力电力系统为重点的监测对象。随后，准确设定了测点位置以及传感器的选择，并在实艇上部署安装。数据处理方面，采用了数据预处理和分析的方法。通过采集传感器的数据，并使用时域分析、时频谱分析、基于自编码器的异常检测方法对柴油机上的振动数据进行预处理和分析，证明健康监测系统的有效性。最后，对未来的研究展望进行探讨，提出了进一步优化监测系统的多元发展路径，为小型无人艇健康管理提供了宝贵的启示和参考。 |
| 英文摘要: |
| In this work, the design and implementation process of the small unmanned surface vehicle health monitoring system was described in detail. Firstly, the characteristics and challenges of health management of small unmanned surface vehicles were analyzed, and the monitoring objects focusing on power system and electric power system were determined. Subsequently, the position of the measuring point and the selection of the sensor were accurately set, and were deployed and installed on the real ship. In the aspect of data processing, the method of data preprocessing and analysis was adopted. By collecting the data of the sensor, the time domain analysis, time-frequency spectrum analysis, and the anomaly detection method based on the autoencoder were used to preprocess and analyze the vibration data on the diesel engine. The effectiveness of the health monitoring system was proved. This paper discusses the future research prospects, and puts forward the diversified development path of further optimizing the monitoring system, which provides valuable enlightenment and reference for the health management of small unmanned surface vehicles. |
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