A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults-Reference-Cited by-同舟云学术

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A dynamic ordered concept lattice based algorithm for early diagnosis of NPP faults

Published:2016-09 Issue: Volume:92 Page:22-28
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Xie Chunli,Elmarakbi Ahmed,Liu Yongkuo,Zhang Jizhou

Funder

Natural Science Foundation of Heilongjiang Province

Fundamental Research Funds for the Central Universities of China

Natural Science Foundation of Heilongjiang Province, China

China Scholarship Council

Publisher

Elsevier BV

Subject

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

Reference40 articles.

1. Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors;Alexandre;Adv. Eng. Inf.,2005

2. A cognitive fault diagnosis system for distributed sensor networks;Alippi;IEEE Trans. Neural Netw. Learn. Syst.,2013

3. SEDRET—an intelligent system for the diagnosis and prediction of events in power plants;Arroyo-Figueroaa;Expert Syst. Appl.,2000

4. Component-wide and plant-wide monitoring by neural networks for Borssele nuclear power plant;Ayaz;Energy Convers. Manag.,2008

5. Clustering for unsupervised fault diagnosis in nuclear turbine shut-down transients;Baraldi;Mech. Syst. Signal Process.,2015

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