{"title":"Monitoring and diagnosis system for wind power generation based on ad-hoc networks","authors":"Qiang Gao, S. Shen, T. Wang","doi":"10.1109/WNWEC.2010.5673111","DOIUrl":null,"url":null,"abstract":"On-line monitoring and diagnosis of wind power generation is not easy because of its discrete distribution. In this paper, a new monitoring and diagnosis system for this problem is presented, which is based on ad-hoc networks. The reliability and maintenance is improved dramatically and some special functions for components failure alert are also added. Finally, a small ad-hoc network for simulation of wind power generation monitoring and diagnosis is fabricated in the laboratory, and a special routing algorithm is designed. The experiments show that the monitoring and diagnosis of wind power generation based on ad-hoc networks is practical and can be used in reality.","PeriodicalId":171339,"journal":{"name":"2010 World Non-Grid-Connected Wind Power and Energy Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 World Non-Grid-Connected Wind Power and Energy Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WNWEC.2010.5673111","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
On-line monitoring and diagnosis of wind power generation is not easy because of its discrete distribution. In this paper, a new monitoring and diagnosis system for this problem is presented, which is based on ad-hoc networks. The reliability and maintenance is improved dramatically and some special functions for components failure alert are also added. Finally, a small ad-hoc network for simulation of wind power generation monitoring and diagnosis is fabricated in the laboratory, and a special routing algorithm is designed. The experiments show that the monitoring and diagnosis of wind power generation based on ad-hoc networks is practical and can be used in reality.