{"title":"CNN-based tomographic reconstruction of laser absorption in a gas turbine model combustor","authors":"Z. Yin, P. Nau, Hannah Scheffold","doi":"10.1364/lacsea.2022.lf1c.5","DOIUrl":null,"url":null,"abstract":"Tomographic reconstruction of laser absorption of H2O is demonstrated in a swirl-stabilized gas turbine model combustor. Superior reconstruction performance is achieved against conventional methods using a nonlinear regression technique based primarily on convolutional neural networks.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/lacsea.2022.lf1c.5","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
Tomographic reconstruction of laser absorption of H2O is demonstrated in a swirl-stabilized gas turbine model combustor. Superior reconstruction performance is achieved against conventional methods using a nonlinear regression technique based primarily on convolutional neural networks.