{"title":"汽轮发电机组数据仓库的设计与建立","authors":"Jian Ou, Cai Sun, Bide Zhang","doi":"10.1109/ELINSL.2004.1380422","DOIUrl":null,"url":null,"abstract":"Turbine generator set is the key equipment in a power system. Keeping the turbine generator set working under safe and reliable condition as long as possible is a subject which draws much attention in engineering field and research field. Online monitoring is a means commonly used. Due to the long running time of an online monitoring system, a large amount of complete equipment information is gained that is very useful to condition-based maintenance and data mining of faults. Data warehouse technology, which is the core of turbine generator set diagnosis information memory and reading, is introduced in this paper. The method of design and building of a data warehouse applied to online monitoring and diagnosis is presented Also.","PeriodicalId":342687,"journal":{"name":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and building of data warehouse for steam turbine-generator set\",\"authors\":\"Jian Ou, Cai Sun, Bide Zhang\",\"doi\":\"10.1109/ELINSL.2004.1380422\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Turbine generator set is the key equipment in a power system. Keeping the turbine generator set working under safe and reliable condition as long as possible is a subject which draws much attention in engineering field and research field. Online monitoring is a means commonly used. Due to the long running time of an online monitoring system, a large amount of complete equipment information is gained that is very useful to condition-based maintenance and data mining of faults. Data warehouse technology, which is the core of turbine generator set diagnosis information memory and reading, is introduced in this paper. The method of design and building of a data warehouse applied to online monitoring and diagnosis is presented Also.\",\"PeriodicalId\":342687,\"journal\":{\"name\":\"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation\",\"volume\":\"55 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINSL.2004.1380422\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the 2004 IEEE International Symposium on Electrical Insulation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2004.1380422","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and building of data warehouse for steam turbine-generator set
Turbine generator set is the key equipment in a power system. Keeping the turbine generator set working under safe and reliable condition as long as possible is a subject which draws much attention in engineering field and research field. Online monitoring is a means commonly used. Due to the long running time of an online monitoring system, a large amount of complete equipment information is gained that is very useful to condition-based maintenance and data mining of faults. Data warehouse technology, which is the core of turbine generator set diagnosis information memory and reading, is introduced in this paper. The method of design and building of a data warehouse applied to online monitoring and diagnosis is presented Also.