Fault diagnosis and classification based on wavelet transform and neural network
- Author
- HADAD, Kamal1 ; POURAHMADI, Meisam2 ; MAJIDI-MARAGHI, Hosein1
[1] Deparment of Nuclear Engineering, Shiraz University, Shiraz, Iran, Islamic Republic of
[2] Department of Electrical Engineering, Shiraz University, Shiraz, Iran, Islamic Republic of - Source
Progress in nuclear energy (New series). 2011, Vol 53, Num 1, pp 41-47, 7 p ; ref : 1/4 p
- Publisher
- Elsevier, Kidlington
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Fault recognition Neural network Nuclear power plant VVER-1000 Wavelet transform
- Keyword (en)
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D04 Installations for energy generation and conversion: thermal and electrical energy. / 001D06D04D Fission nuclear power plants
- Discipline
- Energy
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 23530874
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
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DOI
10.1016/j.pnucene.2010.09.006 
https://dx.doi.org/10.1016/j.pnucene.2010.09.006
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