{"title":"基于cnn的燃气轮机模型燃烧室激光吸收层析重建","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":"{\"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}","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}
CNN-based tomographic reconstruction of laser absorption in a gas turbine model combustor
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.