Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
Initialising ...
植木 祥高*; 橋本 俊作*; 芝原 正彦*; 相澤 康介; 荒 邦章
Proceedings of 30th International Conference on Nuclear Engineering (ICONE30) (Internet), 5 Pages, 2023/05
In sodium-cooled fast reactors, coolant boiling in reactor cores is one of the important phenomena in the safety assessment. Our final target of the present study is to realize the acoustic anomaly detection of the boiling inception in actual reactors. In the actual environment, various sorts of noises are expectedly superposed on accidental boiling sounds. It is inevitable to distinguish the boiling sounds from the superimposing hostile disturbance with high accuracy. To achieve this, we utilize machine learning techniques and assess the feasibility of boiling sensing based on acoustic recognition and deep learning. In the present study, we employ an autoencoder to denoise boiling sounds, and a convolutional neural network to detect the boiling inception. The boiling acoustics have not been fully understood yet. In the present study, we find that some characteristics of the boiling acoustics are consistent with the resonance vibration of the heating body. This finding contributes to elucidating the physics of boiling acoustics.
植木 祥高*; 橋本 俊作*; 芝原 正彦*; 相澤 康介
no journal, ,
原子力プラントにおいて予期せぬ冷却材沸騰が発生すると、炉心が溶融する過酷事故に進展する可能性が指摘されている。深層学習を活用した異常となる沸騰の発生検知を高確度にて実現する音響診断法について基礎検討を行い、検討したデータ駆動型音響診断法が異常事象である沸騰現象の高確度検知に有効であることを示した。