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CRACK LOCALIZATION IN HYDRAULIC TURBINE BLADES BASED ON KERNEL INDEPENDENT COMPONENT ANALYSIS AND WAVELET NEURAL NETWORK

Hydraulic turbine runner has a complex structure, and traditional location methods can't meet its requirement. This paper describes a source location of cracks in turbine blades by combining kernel independent component analysis (KICA) with wavelet neural network (WNN). The research shows that...

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Detalhes bibliográficos
Main Authors: Xianghong Wang, Hanling Mao, Hongwei Hu, Zhiyong Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: Springer 2013-12-01
Colecção:International Journal of Computational Intelligence Systems
Assuntos:
Acesso em linha:https://www.atlantis-press.com/article/25868445.pdf
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