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船舶动力装置智能诊断系统设计 被引量:11

Design of intelligent diagnosis system for ship power equipment
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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"视情维修",有必要设计开发船舶动力装置智能诊断系统。[方法]根据组件的功能和特点,采用单参数阈值法和雷达图分析法进行健康状态评估,并将评估结果转换为健康分数值。对于低于70分的组件,系统将自动进入辅助决策界面,并针对某一故障提供相应的辅助决策建议,以供轮机人员参考。以教学实习船"育鲲"轮为目标船舶,对船舶动力装置的智能诊断系统进行实船验证。[结果]实船验证结果表明,船舶动力装置智能诊断系统具有较高的准确性和可操作性,实现了从"事后维修"到"视情维修"的转变。[结论结论]船舶动力装置智能诊断系统有利于提高船舶运行的安全性,具有一定的实船应用价值。 [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"yukun"as the target ship,the intelligent diagnosis system of the actual ship power equipment is verified.[Results]The results of actual ship verification show that the intelligent diagnosis system of ship power equipment has high accuracy and operability,which realizes the transformation from"breakdown maintenance"to"on-condition maintenance".[Conclusions]The intelligent diagnosis system of ship power equipment helps improve the safety of ship operation and has certain practical value.
作者 张跃文 孙晓磊 丁亚委 孙培廷 ZHANG Yuewen;SUN Xiaolei;DING Yawei;SUN Peiting(College of Marine Engineering,Dalian Maritime University,Dalian 116026,China)
出处 《中国舰船研究》 CSCD 北大核心 2018年第6期140-146,共7页 Chinese Journal of Ship Research
基金 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)
关键词 船舶 动力装置 智能诊断 状态评估 辅助决策 健康值 ship power equipment intelligent diagnosis state evaluation decision-making support health index
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