A pattern recognition approach based on DTW for automatic transient identification in nuclear power plants-Reference-Cited by-同舟云学术

A pattern recognition approach based on DTW for automatic transient identification in nuclear power plants

Published:2015-07 Issue: Volume:81 Page:287-300
ISSN:0306-4549
Container-title:Annals of Nuclear Energy
language:en
Short-container-title:Annals of Nuclear Energy

Author:

Galbally Javier,Galbally David

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference23 articles.

1. ASME, 2013. Boiler and Pressure Vessel Code. Section III. Rules for Construction of Nuclear Facility Components.

2. Dynamic Programming;Bellman,1957

3. On adaptive control processes;Bellman;IRE Trans. Autom. Control,1959

4. Pattern Recognition and Machine Learning;Bishop,2006

5. Brummer, N., 2007. FoCal Multi-class: Toolkit for Evaluation, Fusion and Calibration of Multi-class Recognition Scores - Tutorial and User Manual, Spescom DataVoice, available on-line at: .

Cited by 19 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. Research on Pattern Recognition Method of Nuclear Power Production Data Based on Neural Network;Lecture Notes in Electrical Engineering;2023

2. A method of scaling distortion assessment based on dynamic time warping;Annals of Nuclear Energy;2022-11

3. Consistency check algorithm for validation and re-diagnosis to improve the accuracy of abnormality diagnosis in nuclear power plants;Nuclear Engineering and Technology;2022-10

4. Reliability analysis of complex electromechanical systems: State of the art, challenges, and prospects;Quality and Reliability Engineering International;2022-07-28

5. Use of Dynamic Time Warping for Description of Combustion Process in a Biomass Boiler;Acta Technologica Agriculturae;2022-03-01