基于概率粗糙集和支持向量机的冷库系统故障诊断方法

2010 2nd IEEE International Conference on Information Management and Engineering Pub Date : 2010-04-16 DOI:10.1109/ICIME.2010.5477747

Liu Ya-li, Yu Feng-hao, Chen Sheng-dong, Mao Ming

{"title":"基于概率粗糙集和支持向量机的冷库系统故障诊断方法","authors":"Liu Ya-li, Yu Feng-hao, Chen Sheng-dong, Mao Ming","doi":"10.1109/ICIME.2010.5477747","DOIUrl":null,"url":null,"abstract":"Proposed a method of fault diagnosis for cold storage system, the method based on probabilistic rough set and support vector machine(SVM). Simplify the uncertain information by using probabilistic rough set of Bayes decision making. Design a multi-level classifier of SVM to fault diagnosis. Research the typical fault set of cold storage system with the proposed method. The results show the accuracy ability of fault diagnosis with the proposed method.","PeriodicalId":382705,"journal":{"name":"2010 2nd IEEE International Conference on Information Management and Engineering","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Method of fault diagnosis for cold storage system based on probabilistic rough set and SVM\",\"authors\":\"Liu Ya-li, Yu Feng-hao, Chen Sheng-dong, Mao Ming\",\"doi\":\"10.1109/ICIME.2010.5477747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Proposed a method of fault diagnosis for cold storage system, the method based on probabilistic rough set and support vector machine(SVM). Simplify the uncertain information by using probabilistic rough set of Bayes decision making. Design a multi-level classifier of SVM to fault diagnosis. Research the typical fault set of cold storage system with the proposed method. The results show the accuracy ability of fault diagnosis with the proposed method.\",\"PeriodicalId\":382705,\"journal\":{\"name\":\"2010 2nd IEEE International Conference on Information Management and Engineering\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd IEEE International Conference on Information Management and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICIME.2010.5477747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd IEEE International Conference on Information Management and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIME.2010.5477747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 1

摘要

提出了一种基于概率粗糙集和支持向量机的冷库系统故障诊断方法。利用贝叶斯决策的概率粗糙集简化不确定信息。设计了支持向量机的多级分类器进行故障诊断。用该方法对冷库系统的典型故障集进行了研究。结果表明，该方法具有较好的故障诊断精度。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Method of fault diagnosis for cold storage system based on probabilistic rough set and SVM

Proposed a method of fault diagnosis for cold storage system, the method based on probabilistic rough set and support vector machine(SVM). Simplify the uncertain information by using probabilistic rough set of Bayes decision making. Design a multi-level classifier of SVM to fault diagnosis. Research the typical fault set of cold storage system with the proposed method. The results show the accuracy ability of fault diagnosis with the proposed method.

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

2010 2nd IEEE International Conference on Information Management and Engineering

自引率

0.00%

发文量