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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Opis bibliograficzny

Główni autorzy:	Jianping Ma, Jin Jiang
Format:	Artigo
Język:	Inglês
Wydane:	Elsevier 2015-03-01
Seria:	Nuclear Engineering and Technology
Hasła przedmiotowe:	Fault diagnosis Nuclear power plant Semisupervised classification
Dostęp online:	http://www.sciencedirect.com/science/article/pii/S1738573315000054
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