Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants

Author:

Elshenawy Lamiaa M.ORCID,Halawa Mohamed A.ORCID,Mahmoud Tarek A.,Awad Hamdi. A.,Abdo Mohamed I.

Publisher

Elsevier BV

Subject

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

Reference42 articles.

1. Reconstruction-based contribution for process monitoring;Alcala;Automatica,2009

2. Analysis and generalization of fault diagnosis methods for process monitoring;Alcala;J. Process Control,2011

3. Unsupervised Process Monitoring and Fault Diagnosis with Machine Learning Methods;Aldrich,2013

4. Support vector ensemble for incipient fault diagnosis in nuclear plant components;Ayodeji;Nucl. Eng. Technol.,2018

5. Knowledge base operator support system for nuclear power plant fault diagnosis;Ayodeji;Prog. Nucl. Energy,2018

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