使用支持向量数据描述法检测船用发动机故障

Klaudia Wrzask, Jerzy Kowalski, Van Vang Le, Van Giao Nguyen, Dao Nam Cao
{"title":"使用支持向量数据描述法检测船用发动机故障","authors":"Klaudia Wrzask, Jerzy Kowalski, Van Vang Le, Van Giao Nguyen, Dao Nam Cao","doi":"10.1080/20464177.2024.2318844","DOIUrl":null,"url":null,"abstract":"Fast detection and correct diagnosis of any engine condition changes are essential elements of safety and environmental protection. Many diagnostic algorithms significantly improve the detection of...","PeriodicalId":501496,"journal":{"name":"Journal of Marine Engineering & Technology","volume":"198 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fault detection in the marine engine using a support vector data description method\",\"authors\":\"Klaudia Wrzask, Jerzy Kowalski, Van Vang Le, Van Giao Nguyen, Dao Nam Cao\",\"doi\":\"10.1080/20464177.2024.2318844\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Fast detection and correct diagnosis of any engine condition changes are essential elements of safety and environmental protection. Many diagnostic algorithms significantly improve the detection of...\",\"PeriodicalId\":501496,\"journal\":{\"name\":\"Journal of Marine Engineering & Technology\",\"volume\":\"198 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Marine Engineering & Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/20464177.2024.2318844\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Marine Engineering & Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/20464177.2024.2318844","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

快速检测和正确诊断发动机的任何状态变化是安全和环保的基本要素。许多诊断算法能显著提高对发动机状态变化的检测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fault detection in the marine engine using a support vector data description method
Fast detection and correct diagnosis of any engine condition changes are essential elements of safety and environmental protection. Many diagnostic algorithms significantly improve the detection of...
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:481959085
Book学术官方微信