most citedRepresentation Learning based and Interpretable Reactor System Diagnosis Using Denoising Padded Autoencoder

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eess.SP2022★ 2 cited

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…

eess.SP2022

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…