{"title":"IBR-2M反应堆振荡不稳定性的NARX神经预测","authors":"M. Dima, M. Dima, M. Mihailescu","doi":"10.22323/1.429.0031","DOIUrl":null,"url":null,"abstract":"During the start-up regime of the IBR-2M power fluctuations appear, which the Automatic Regulator system dampens. Their origin is not completely clear, however it is known that the major reactivity sources are from design – respectively the OPO and DPO reflectors: their axial fluctuations towards the active zone and their relative phase of intersecting each other facing the center of the active zone. A neuromorphic solution is sought to anticipate (5-10 s) such fluctuations. We present encouraging preliminary results obtained with a Non-linear Autoregressive Exogenous (NARX) neural network, the main features of the fluctuations being anticipatable.","PeriodicalId":262901,"journal":{"name":"Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)","volume":"193 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"NARX neural prediction of oscillationalinstability at the IBR-2M reactor\",\"authors\":\"M. Dima, M. Dima, M. Mihailescu\",\"doi\":\"10.22323/1.429.0031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"During the start-up regime of the IBR-2M power fluctuations appear, which the Automatic Regulator system dampens. Their origin is not completely clear, however it is known that the major reactivity sources are from design – respectively the OPO and DPO reflectors: their axial fluctuations towards the active zone and their relative phase of intersecting each other facing the center of the active zone. A neuromorphic solution is sought to anticipate (5-10 s) such fluctuations. We present encouraging preliminary results obtained with a Non-linear Autoregressive Exogenous (NARX) neural network, the main features of the fluctuations being anticipatable.\",\"PeriodicalId\":262901,\"journal\":{\"name\":\"Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)\",\"volume\":\"193 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22323/1.429.0031\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of The 6th International Workshop on Deep Learning in Computational Physics — PoS(DLCP2022)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.429.0031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
NARX neural prediction of oscillationalinstability at the IBR-2M reactor
During the start-up regime of the IBR-2M power fluctuations appear, which the Automatic Regulator system dampens. Their origin is not completely clear, however it is known that the major reactivity sources are from design – respectively the OPO and DPO reflectors: their axial fluctuations towards the active zone and their relative phase of intersecting each other facing the center of the active zone. A neuromorphic solution is sought to anticipate (5-10 s) such fluctuations. We present encouraging preliminary results obtained with a Non-linear Autoregressive Exogenous (NARX) neural network, the main features of the fluctuations being anticipatable.