Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Detection of surging sound with wavelet transform and neural networks
An acoustic diagnosis technique for a blower using wavelet transforms and neural networks is described. It is important for this diagnosis to detect surging phenomena, which may lead to the destruction of the blower. A dyadic wavelet transform is used as the pre-processing method, while a multi-layered neural network is used as the discrimination method. An experiment is performed for a blower. The results show that the neural network with the wavelet transform can detect surging sounds well.
Detection of surging sound with wavelet transform and neural networks
An acoustic diagnosis technique for a blower using wavelet transforms and neural networks is described. It is important for this diagnosis to detect surging phenomena, which may lead to the destruction of the blower. A dyadic wavelet transform is used as the pre-processing method, while a multi-layered neural network is used as the discrimination method. An experiment is performed for a blower. The results show that the neural network with the wavelet transform can detect surging sounds well.
Detection of surging sound with wavelet transform and neural networks
Kotani, M. (Autor:in) / Ueda, Y. (Autor:in) / Akazawa, K. (Autor:in) / Kanagawa, T. (Autor:in)
IEICE Transactions on Information and Systems ; E81-D ; 329-335
1998
7 Seiten, 14 Quellen
Aufsatz (Zeitschrift)
Englisch
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