作者: Nourddine Khentout , Hassen Salhi , Giovanni Magrotti , Djemai Merrouche , None
DOI: 10.1016/J.PNUCENE.2018.02.019
关键词: TRIGA 、 Downtime 、 Redundancy (engineering) 、 Heat exchanger 、 Mathematical model 、 Reliability engineering 、 Data acquisition 、 Research reactor 、 Computer science 、 Water cooling
摘要: Abstract One of the major challenges in instrumentation is to identify wrong data (signal) measurements and perform their validation. This can be done by regularly ensuring a correct operation different process components, particularly those having great importance for safety, order detect, isolate any possible degradation or fault. operation, known as on-line fault monitoring, should early possible, before causes failure equipment which lead downtime plant even severe catastrophes disasters. Therefore, these consequences influence negatively on productivity, availability environment. At Triga-Mark II nuclear research reactor, heat exchangers are provided removing generated from reactor pool water throw cooling circuits. monitoring evolution certain thermo hydraulic parameters necessary ensure safety reactor. Among several developed techniques, analytical redundancy has been recognized an effective method monitoring. It identifying faulty instrument system through comparison its output estimate data. estimation based model acquisition chains existing sensors during all operating modes installation. In our case, we limited mathematical models Kalman filter approaches. this paper review state some techniques exchanger, present experimental results application temperatures flow rates core.