基于多智能体的船舶安全智能机房监测与诊断方法

G. Yao, Tianhao Tang
{"title":"基于多智能体的船舶安全智能机房监测与诊断方法","authors":"G. Yao, Tianhao Tang","doi":"10.1109/ITST.2007.4295917","DOIUrl":null,"url":null,"abstract":"For the purpose of marine safety, this paper, after discussing the advantages of MAS compared with traditional DCS structure, presents a hybrid intelligent multi-agent method for engineer room monitoring and faults diagnosis. A new diagnosis process, combined with data mining and neural networks, are discussed as well as the functions and structure of agent which implements these algorithms. At last, some simulation results are shown to demonstrate the efficiency of the proposed system.","PeriodicalId":106396,"journal":{"name":"2007 7th International Conference on ITS Telecommunications","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Multi-Agent Based Intelligent Engineer Room Monitoring and Diagnosis Method for Marine Safety\",\"authors\":\"G. Yao, Tianhao Tang\",\"doi\":\"10.1109/ITST.2007.4295917\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For the purpose of marine safety, this paper, after discussing the advantages of MAS compared with traditional DCS structure, presents a hybrid intelligent multi-agent method for engineer room monitoring and faults diagnosis. A new diagnosis process, combined with data mining and neural networks, are discussed as well as the functions and structure of agent which implements these algorithms. At last, some simulation results are shown to demonstrate the efficiency of the proposed system.\",\"PeriodicalId\":106396,\"journal\":{\"name\":\"2007 7th International Conference on ITS Telecommunications\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 7th International Conference on ITS Telecommunications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITST.2007.4295917\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 7th International Conference on ITS Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITST.2007.4295917","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

从船舶安全的角度出发,讨论了MAS相对于传统DCS结构的优势,提出了一种用于机房监控与故障诊断的混合智能多智能体方法。讨论了一种将数据挖掘和神经网络相结合的新型诊断过程,以及实现这些算法的智能体的功能和结构。最后,仿真结果验证了该系统的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Multi-Agent Based Intelligent Engineer Room Monitoring and Diagnosis Method for Marine Safety
For the purpose of marine safety, this paper, after discussing the advantages of MAS compared with traditional DCS structure, presents a hybrid intelligent multi-agent method for engineer room monitoring and faults diagnosis. A new diagnosis process, combined with data mining and neural networks, are discussed as well as the functions and structure of agent which implements these algorithms. At last, some simulation results are shown to demonstrate the efficiency of the proposed system.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信