Research and application of cross validation of fault diagnosis for measurement channels-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Research and application of cross validation of fault diagnosis for measurement channels

Published:2022-08 Issue: Volume:150 Page:104324
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Chen Yongwei,Liu Runfeng,Li Yonggang,Zhou Xinxing

Funder

China Association for Science and Technology

Publisher

Elsevier BV

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Safety, Risk, Reliability and Quality,Nuclear Energy and Engineering

Reference21 articles.

1. Explainability: relevance based dynamic deep learning algorithm for fault detection and diagnosis in chemical processes;Agarwal;Comput. Chem. Eng.,2021

2. A survey of the state of condition-based maintenance (CBM) in the nuclear power industry;Ayo-Imoru;Ann. Nucl. Energy.,2018

3. Intelligent fault diagnosis of hot die forging press based on binary decision diagram and fault tree analysis;Cao;Procedia Manuf.,2018

4. Uncertainty evaluation in the differential measurements of power losses in a power drive system;Caruso;Measurement,2021

5. fault detection for dynamical systems using differential geometric and concurrent learning approach;Chakraborty;IFAC-PapersOnLine,2018

Cited by 4 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. Hybrid DE optimised kernel SVR–relied techniques to forecast the outlet turbidity and outlet dissolved oxygen in distinct filtration media and micro-irrigation filters;Biosystems Engineering;2024-07

2. Self-improving few-shot fault diagnosis for nuclear power plant based on man-machine collaboration;Nuclear Engineering and Design;2024-04

3. Forecast of the outlet turbidity and filtered volume in different microirrigation filters and filtration media by using machine learning techniques;Journal of Computational and Applied Mathematics;2024-03

4. Modelling hydrogen production from biomass pyrolysis for energy systems using machine learning techniques;Environmental Science and Pollution Research;2023-05-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3