2 citations · 3 across the 4 of their papers we have counts for
4 papers
A Long-term Dependent and Trustworthy Approach to Reactor Accident Prognosis based on Temporal Fusion Transformer
Chengyuan Li, Zhifang Qiu, Yugao Ma +1
Prognosis of the reactor accident is a crucial way to ensure appropriate strategies are adopted to avoid radioactive releases. However, there is very limited research in the field…
Representation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder
Chengyuan Li, Zhifang Qiu, Zhangrui Yan +1
With the mass construction of Gen III nuclear reactors, it is a popular trend to use deep learning (DL) techniques for fast and effective diagnosis of possible accidents. To overco…
An Unsupervised Learning-based Framework for Effective Representation Extraction of Reactor Accidents
Chengyuan Li, Meifu Li, Zhifang Qiu
With the increasing use of high-precision system analysis programs in nuclear engineering, the number of high-fidelity computational data for accident simulation is exploding. Ther…
Post-hoc Interpretability based Parameter Selection for Data Oriented Nuclear Reactor Accident Diagnosis System
Chengyuan Li, Meifu Li, Zhifang Qiu
During applying data-oriented diagnosis systems to distinguishing the type of and evaluating the severity of nuclear power plant initial events, it is of vital importance to decide…