Experiences and applications of PEANO for online monitoring in power plants-Reference-Cited by-同舟云学术

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Experiences and applications of PEANO for online monitoring in power plants

Published:2005-01 Issue:3-4 Volume:46 Page:206-225
ISSN:0149-1970
Container-title:Progress in Nuclear Energy
language:en
Short-container-title:Progress in Nuclear Energy

Author:

Fantoni Paolo F.

Publisher

Elsevier BV

Subject

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

Reference45 articles.

1. Nuclear Power Plant Diagnostics using Artificial Neural Networks;Bartlett,1991

2. On-Line simulation and Estimation. Lesson learned for CAMS;Berg,1995

3. The use of CAMS during a safety exercise at the Swedish Nuclear Inspectorate;Berglund,1995

4. Pattern Recognition with Fuzzy Objective Function Algorithms;Bezdek,1981

5. Description of the Computerised Accident Management Support System (CAMS). Prototype and Design;Fantoni,1994

Cited by 23 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. Feature extraction for subtle anomaly detection using semi-supervised learning;Annals of Nuclear Energy;2023-02

2. Plant health index as an anomaly detection tool for oil refinery processes;Scientific Reports;2022-08-25

3. Abnormal event detection, identification and isolation in nuclear power plants using LSTM networks;Progress in Nuclear Energy;2021-10

4. Sensor fault detection, isolation and reconstruction in nuclear power plants;Annals of Nuclear Energy;2019-04

5. False alarm reducing in PCA method for sensor fault detection in a nuclear power plant;Annals of Nuclear Energy;2018-08

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