Fault detection and isolation for self powered neutron detectors based on Principal Component Analysis-Reference-Cited by-同舟云学术

Fault detection and isolation for self powered neutron detectors based on Principal Component Analysis

Published:2015-11 Issue: Volume:85 Page:213-219
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Peng Xingjie,Li Qing,Wang Kan

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference8 articles.

1. A correlation-based signal validation method for fixed in-core detectors;Adorján;Nucl. Technol.,1997

2. Identification of faulty sensors using principal component analysis;Dunia;AIChE J.,1996

3. Figedy, S., 2012. In-core sensors diagnostics based on correlation and neuro-fuzzy techniques. In: 8th Meeting of the Halden On-Line Monitoring User Group, Rome, Italy, October 18–19.

4. Determination of PWR control rod position by core physics and neural network methods;Garis;Nucl. Technol.,1998

5. Incipient fault detection and isolation of field devices in nuclear power systems using principal component analysis;Kaistha;Nucl. Technol.,2001

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Fault detection and isolation for multi-type sensors in nuclear power plants via a knowledge-guided spatial–temporal model;Knowledge-Based Systems;2024-09

2. Fault Detection and Isolation for Multi-Type Sensors in Nuclear Power Plants Via a Knowledge-Guided Spatial-Temporal Model;2024

3. Fault Identification Method for In-Core Self-Powered Neutron Detectors Combing Graph Convolutional Network and Stacking Ensemble Learning;Journal of Shanghai Jiaotong University (Science);2023-12-13

4. Probabilistic monitoring of nuclear plants using R-vine copula;Annals of Nuclear Energy;2023-09

5. Twin model-based fault detection and tolerance approach for in-core self-powered neutron detectors;Nuclear Science and Techniques;2023-08