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智能航运系统的发展现状与趋势
引用本文:张跃文, 孙晓磊, 丁亚委, 孙培廷. 船舶动力装置智能诊断系统设计[J]. 中国舰船研究, 2018, 13(6): 140-146. DOI: 10.19693/j.issn.1673-3185.01209
作者姓名:张跃文  孙晓磊  丁亚委  孙培廷
作者单位:1.大连海事大学 轮机工程学院, 辽宁 大连 116026
基金项目:中央高校基本科研业务费专项资金资助项目(3132016357);中国船级社项目(2015H0544)
摘    要:  目的  为了适应无人驾驶船舶的发展趋势,增强船舶动力装置的船岸一体化管理,减轻轮机人员的工作负担,从而实现船舶动力装置的

关 键 词:船舶  动力装置  智能诊断  状态评估  辅助决策  健康值
收稿时间:2018-03-07

Review and prospect for intelligent waterway transportation system
ZHANG Yuewen, SUN Xiaolei, DING Yawei, SUN Peiting. Design of intelligent diagnosis system for ship power equipment[J]. Chinese Journal of Ship Research, 2018, 13(6): 140-146. DOI: 10.19693/j.issn.1673-3185.01209
Authors:ZHANG Yuewen  SUN Xiaolei  DING Yawei  SUN Peiting
Affiliation:1.College of Marine Engineering, Dalian Maritime University, Dalian 116026, China
Abstract:  Objectives  In order to adapt to the development of unmanned ships, strengthen the ship-shore integrated management of ship power equipment, reduce the workload of marine engineers, and realize on-condition maintenance of ship power equipment, this paper designs an intelligent diagnosis system of ship power equipment allowing for ship-shore integrated management.  Methods  According to the functions and features, the health status of components is evaluated with the single parameter threshold method and the radar chart, and the evaluation results are presented in the form of health scores. For components scored below 70 points, the system automatically enters the decision-making support interface, and the corresponding decision for a fault is provided for the engineer's reference. Taking the training ship
Keywords:ship  power equipment  intelligent diagnosis  state evaluation  decision-making support  health index
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