Detection of fuel failure in pressurized water reactor with artificial neural network

2020 ◽  
Vol 140 ◽  
pp. 107104 ◽  
Author(s):  
Bing Dong ◽  
Wei Xiao ◽  
Junlian Yin ◽  
Dezhong Wang
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Water Reactor ◽  
Fuel Failure ◽  
Artificial Neural

Prediction of safety parameters of pressurized water reactor based on feature fusion neural network

2022 ◽  
Vol 166 ◽  
pp. 108803
Author(s):  
Yinghao Chen ◽  
Dongdong Wang ◽  
Cao Kai ◽  
Cuijie Pan ◽  
Yayun Yu ◽  
...  
Keyword(s):  
Neural Network ◽  
Feature Fusion ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Water Reactor ◽  
Safety Parameters

scholarly journals A Novel Fractional-Order PID Controller for Integrated Pressurized Water Reactor Based on Wavelet Kernel Neural Network Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Yu-xin Zhao ◽  
Xue Du ◽  
Geng-lei Xia
Keyword(s):  
Neural Network ◽  
Fractional Order ◽  
Kernel Function ◽  
Control Strategy ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Water Reactor ◽  
Complex Control System ◽  
Wavelet Kernel Function ◽  
Fractional Order Pid

This paper presents a novel wavelet kernel neural network (WKNN) with wavelet kernel function. It is applicable in online learning with adaptive parameters and is applied on parameters tuning of fractional-order PID (FOPID) controller, which could handle time delay problem of the complex control system. Combining the wavelet function and the kernel function, the wavelet kernel function is adopted and validated the availability for neural network. Compared to the conservative wavelet neural network, the most innovative character of the WKNN is its rapid convergence and high precision in parameters updating process. Furthermore, the integrated pressurized water reactor (IPWR) system is established by RELAP5, and a novel control strategy combining WKNN and fuzzy logic rule is proposed for shortening controlling time and utilizing the experiential knowledge sufficiently. Finally, experiment results verify that the control strategy and controller proposed have the practicability and reliability in actual complicated system.

Neural Network-Based Fault Detections in a Pressurized Water Reactor Pressurizer

1996 ◽  
Vol 124 (2) ◽  
pp. 339-348 ◽  
Author(s):  
M. Marseguerra ◽  
M. E. Ricotti ◽  
E. Zio
Keyword(s):  
Neural Network ◽  
Pressurized Water Reactor ◽  
Pressurized Water ◽  
Water Reactor

Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

2000 ◽  
Vol 25 (4) ◽  
pp. 325-325
Author(s):  
J.L.N. Roodenburg ◽  
H.J. Van Staveren ◽  
N.L.P. Van Veen ◽  
O.C. Speelman ◽  
J.M. Nauta ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Oral Leukoplakia ◽  
Autofluorescence Spectroscopy ◽  
Artificial Neural
Sign in / Sign up

Export Citation Format

Share Document