四值逻辑在诊断系统推理过程中的应用

S. Duer, K. Zajkowski, R. Duer
{"title":"四值逻辑在诊断系统推理过程中的应用","authors":"S. Duer, K. Zajkowski, R. Duer","doi":"10.5604/12345865.1210605","DOIUrl":null,"url":null,"abstract":"The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.","PeriodicalId":9068,"journal":{"name":"Biuletyn Wojskowej Akademii Technicznej","volume":"65 1","pages":"41-53"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Zastosowanie logiki czterowartościowej w procesie wnioskowania w systemach diagnostycznych\",\"authors\":\"S. Duer, K. Zajkowski, R. Duer\",\"doi\":\"10.5604/12345865.1210605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.\",\"PeriodicalId\":9068,\"journal\":{\"name\":\"Biuletyn Wojskowej Akademii Technicznej\",\"volume\":\"65 1\",\"pages\":\"41-53\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biuletyn Wojskowej Akademii Technicznej\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5604/12345865.1210605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biuletyn Wojskowej Akademii Technicznej","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5604/12345865.1210605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

本文介绍了逻辑4值在诊断系统推理过程中的应用。为此,提出并定义了智能诊断系统(DIAG 2)的结构。介绍了其基本模块:测量、计算、分析模块(神经网络程序)和诊断推理模块。在文献中,在诊断系统中描述和实现四价逻辑的领域没有发展。作者在这一领域的工作具有创新性。值得注意的是目前在系统中使用的诊断方法(DIAG 2)。提出的诊断方法(评估被检查对象的状态)是基于诊断信号的矢量与其模式矢量的比较。通过对信号的比较,利用神经网络确定诊断信号的视差向量的基本度量。在微分距离度量的基础上,系统请求对基本对象的元素状态进行诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Zastosowanie logiki czterowartościowej w procesie wnioskowania w systemach diagnostycznych
The article presents application of logic 4-valuable in the process of reasoning in diagnostic systems. For this purpose, the structure of an intelligent diagnostic system (DIAG 2) is presented and defined. Its essential modules: measurement, calculation, and analysis modules (program of neural network) and diagnostic inference are described. In the literature, there is no development in the field of description and implementation of the logic of the tetravalent in diagnostic systems. The author’s works in this field are innovative ones. Noteworthy is the present diagnostic method used in the system (DIAG 2). The proposed diagnostic method (assessment of the state of the examined object) is based on a comparison of vectors of diagnostic signals with their patterns’ vectors. By comparing the signals, elementary metrics of disparity vectors of diagnostic signals are determined by the neural network. On the basis of the metrics of differential distance, the system requests for diagnostics of the state of elements of the basic object.
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
审稿时长
16 weeks
期刊最新文献
Numerical validation of a method determining thermal diffusivity based on a measurement of a temperature profile Measuring system for comprehensive testing of electrical machines Mathematical models of single-phase long lines Smart home system — modern technology used in single-family housing Analysis of electrical energy consumption on the example of a selected building
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1