Modern methods of signal processing in the loose part monitoring system-Reference-Cited by-同舟云学术

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Modern methods of signal processing in the loose part monitoring system

Published:2005-01 Issue:3-4 Volume:46 Page:253-267
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Figedy Stefan,Oksa Gabriel

Publisher

Elsevier BV

Subject

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

Reference11 articles.

1. Neural Networks for Pattern Recognition;Bishop,1995

2. Inference About the Change-Point from Cumulative Sum-Test;Hinkley;Biometrika,1971

3. Metal Impact Signal Transmission Through Reactor Structures;Mayo,1995

4. Numerical Linear Algebra and Applications;Nath Datta,1995

5. Operational Experience with Automated Acoustic Burst Classification by Neural Networks;Olma,1995

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1. Discrimination model using denoising autoencoder-based majority vote classification for reducing false alarm rate;Nuclear Engineering and Technology;2023-10

2. Fault supervision of nuclear research reactor systems using artificial neural networks: A review with results;Annals of Nuclear Energy;2023-06

3. Mass estimation of loose parts based on virtual experiment;Progress in Nuclear Energy;2023-05

4. A Continuous Short RMS-Based Grid Time Difference Localization Method for Reactor Loose Parts;2022 Global Reliability and Prognostics and Health Management (PHM-Yantai);2022-10-13

5. Experience of using loose parts monitoring systems at Novovoronezh NPP;Nuclear Energy and Technology;2022-09-27

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