Semisupervised classification for fault diagnosis in nuclear power plants

Semisupervised classification for fault diagnosis in nuclear power plants

Pattern classifications have become important tools for fault diagnosis in nuclear power plants (NPP). However, it is often difficult to obtain training data under fault conditions to train a supervised classification model. By contrast, normal plant operating data can be easily made available throu...

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Bibliografische gegevens
Hoofdauteurs: Jianping Ma, Jin Jiang
Formaat: Artikel
Taal:English
Gepubliceerd in: Elsevier 2015-03-01
Reeks:Nuclear Engineering and Technology
Onderwerpen:
Fault diagnosis
Nuclear power plant
Semisupervised classification
Online toegang:http://www.sciencedirect.com/science/article/pii/S1738573315000054

Internet

http://www.sciencedirect.com/science/article/pii/S1738573315000054

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