基于人工智能方法的复杂过程故障诊断技术要点

Yang Wu, Peng Wang, N. Luo, Lu Zeng, Guanglu Feng
{"title":"基于人工智能方法的复杂过程故障诊断技术要点","authors":"Yang Wu, Peng Wang, N. Luo, Lu Zeng, Guanglu Feng","doi":"10.1117/12.2670542","DOIUrl":null,"url":null,"abstract":"In the innovation and development of modern science and technology, due to the complex process of many influencing factors, reaction mechanism is more complex, can not establish accurate mathematical model, so the traditional sense of fault diagnosis method, can not achieve satisfactory results. On the basis of integrating practical research experience and based on the characteristics of complex processes, researchers from all over the world have used artificial intelligence methods to deeply explore new fault diagnosis techniques, and effectively analyzed the knowledge methods and application rules contained in them. On the basis of understanding the concept of complex process and artificial intelligence, and according to the research results of scholars from various countries, this paper deeply discusses the fault diagnosis technology of complex process with artificial intelligence method as the core, and makes clear the development trend of artificial intelligence technology in the fault diagnosis of complex process.","PeriodicalId":202840,"journal":{"name":"International Conference on Mathematics, Modeling and Computer Science","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Key points of complex process fault diagnosis technology based on artificial intelligence method\",\"authors\":\"Yang Wu, Peng Wang, N. Luo, Lu Zeng, Guanglu Feng\",\"doi\":\"10.1117/12.2670542\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the innovation and development of modern science and technology, due to the complex process of many influencing factors, reaction mechanism is more complex, can not establish accurate mathematical model, so the traditional sense of fault diagnosis method, can not achieve satisfactory results. On the basis of integrating practical research experience and based on the characteristics of complex processes, researchers from all over the world have used artificial intelligence methods to deeply explore new fault diagnosis techniques, and effectively analyzed the knowledge methods and application rules contained in them. On the basis of understanding the concept of complex process and artificial intelligence, and according to the research results of scholars from various countries, this paper deeply discusses the fault diagnosis technology of complex process with artificial intelligence method as the core, and makes clear the development trend of artificial intelligence technology in the fault diagnosis of complex process.\",\"PeriodicalId\":202840,\"journal\":{\"name\":\"International Conference on Mathematics, Modeling and Computer Science\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Mathematics, Modeling and Computer Science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1117/12.2670542\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Mathematics, Modeling and Computer Science","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.2670542","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

在现代科学技术的创新与发展中,由于影响因素众多的复杂过程,反应机理更为复杂,无法建立精确的数学模型,因此传统意义上的故障诊断方法,无法取得满意的结果。各国研究者在整合实际研究经验的基础上,根据复杂过程的特点,利用人工智能方法对故障诊断新技术进行了深入探索,并对其中蕴含的知识方法和应用规则进行了有效分析。在理解复杂过程和人工智能概念的基础上,根据各国学者的研究成果,深入探讨了以人工智能方法为核心的复杂过程故障诊断技术,明确了人工智能技术在复杂过程故障诊断中的发展趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Key points of complex process fault diagnosis technology based on artificial intelligence method
In the innovation and development of modern science and technology, due to the complex process of many influencing factors, reaction mechanism is more complex, can not establish accurate mathematical model, so the traditional sense of fault diagnosis method, can not achieve satisfactory results. On the basis of integrating practical research experience and based on the characteristics of complex processes, researchers from all over the world have used artificial intelligence methods to deeply explore new fault diagnosis techniques, and effectively analyzed the knowledge methods and application rules contained in them. On the basis of understanding the concept of complex process and artificial intelligence, and according to the research results of scholars from various countries, this paper deeply discusses the fault diagnosis technology of complex process with artificial intelligence method as the core, and makes clear the development trend of artificial intelligence technology in the fault diagnosis of complex process.
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