M. Zaghloul, Amr M. Hassan, D. Carpenter, P. Calderoni, J. Daw, Kevin P. Chen
{"title":"Optical Sensor Behavior Prediction using LSTM Neural Network","authors":"M. Zaghloul, Amr M. Hassan, D. Carpenter, P. Calderoni, J. Daw, Kevin P. Chen","doi":"10.1109/IPCon.2019.8908337","DOIUrl":null,"url":null,"abstract":"Optical fiber-based-sensors proved capable of enduring various harsh environments. Long-short-term memory (LSTM) neural-networks are often used for datasets with long-dependences. Here, rare FBG measurements collected from a neutron reactor core were used to build a neural-network capable of predicting the future events inside the reactor.","PeriodicalId":314151,"journal":{"name":"2019 IEEE Photonics Conference (IPC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Photonics Conference (IPC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPCon.2019.8908337","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Optical fiber-based-sensors proved capable of enduring various harsh environments. Long-short-term memory (LSTM) neural-networks are often used for datasets with long-dependences. Here, rare FBG measurements collected from a neutron reactor core were used to build a neural-network capable of predicting the future events inside the reactor.