Conveners
Artificial intelligence
- Joshua Stillerman (MIT Plasma Science and Fusion Center)
In this paper, we propose recurrent transformer model, which is a method for forecasting the temperature of KSTAR PF coils, to protect PF coil while PF coil operation. In this work, we developed the transformer model that can recurrently forecast output using the current time input data and the hidden state of the previous time step.The amount of computation and memory overheads of running the...
In the LHD experiment, physical data is managed by the Kaiseki Server, or the Analyzed Data Server. In the past, the registration of physical data was done by each researcher in charge of measurement, but since many analysis programs require other physical data as input data, calculations could not be performed until the necessary data were registered. Therefore, the registration of the...
In order to generate high-performance plasma, it is desirable to keep high quality vacuum during experiment. Mass spectrometer is commonly used to monitor the vacuum quality and to record the amount of atoms and molecules in the vacuum vessel. Leak is the most serious accident to avoid and must be indicated by the recorded events such as an increase in the degree of vacuum and a change in the...
Data-driven models are aimed on finding complex relation among different quantities but without taking into account the physical mechanisms that are responsible for an underlying behaviour. From an engineering point of view, this is not an issue whenever the detection is correct. However, such models require large databases for training purposes. The requirement of a high number of...
