{"title":"Safety evaluation research of hydraulic steel gate based on BP-neural network","authors":"Guo Jianbin, Wen Yuanchang, Xiaowei Jian","doi":"10.1109/SUPERGEN.2009.5348021","DOIUrl":null,"url":null,"abstract":"Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.","PeriodicalId":250585,"journal":{"name":"2009 International Conference on Sustainable Power Generation and Supply","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Sustainable Power Generation and Supply","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SUPERGEN.2009.5348021","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
Aiming at actual condition that the semi-empirical and semi-theoretical researches exist generally in the safety valuation of hydraulic steel gate in service, a new method has been provided, in which the evaluation model is built by BP-neural network, and trained through the normalized corrosion data of hydraulic steel gate. Project applications show that the method evaluated hydraulic steel gate exactly and objectively, and can ensure safety and reliability of gate operation.
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