{"title":"Study for evaluating on-board power plant simulating training performance","authors":"Huichong Xie, Leping Bu, Li Xia, Yuan Feng","doi":"10.1109/ISRA.2012.6219189","DOIUrl":null,"url":null,"abstract":"With the development of power system, On-Board Training System gains more and more attention. The following question is how to evaluate training reasonably and justly, test the training results objectively, as well as locate and make up the deficiencies, to instruct training better. Aiming at the performance evaluation of On-Board power plant simulating training, this paper structures an evaluation index system, proposes an algorithm using the method of combination weight of improved gray analytic hierarchy process and entropy method to define index, and gives an optimization model. By multi-grade fuzzy comprehensive evaluation method, evaluate the training results. The example proves that, for On-Board power plant simulating training, this method is practicable, effective and reasonable.","PeriodicalId":266930,"journal":{"name":"2012 IEEE Symposium on Robotics and Applications (ISRA)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Symposium on Robotics and Applications (ISRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISRA.2012.6219189","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
With the development of power system, On-Board Training System gains more and more attention. The following question is how to evaluate training reasonably and justly, test the training results objectively, as well as locate and make up the deficiencies, to instruct training better. Aiming at the performance evaluation of On-Board power plant simulating training, this paper structures an evaluation index system, proposes an algorithm using the method of combination weight of improved gray analytic hierarchy process and entropy method to define index, and gives an optimization model. By multi-grade fuzzy comprehensive evaluation method, evaluate the training results. The example proves that, for On-Board power plant simulating training, this method is practicable, effective and reasonable.