On-line monitoring techniques have been developed for diverse applications in process and power industries. In this project, these techniques have been considered for initiating event (IE) detection and identification and plant sensors condition monitoring to maintain safe operations of nuclear power plants (NPPs). We focus in this project on applying the data-driven methods (machine/deep learning techniques) to realize the on-line monitoring systems.
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Realizations of the assistive system |
The following links provide the videos of two realizations of the assistive system that incorporates our proposed algorithms:
FPGA-based system |
Awards |
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