Detection of Surging Sound with Wavelet Transform and Neural Networks

概要

論文の詳細を見る
An acoustic diagnosis technique for the blower by wavelet transform and neural networks is described. It is important for this diagnosis to detect surging phenomena, which lead to the destruction of the blower. Dyadic wavelet transform is used as the pre-processing method. A multi-layered neural network is used as the discrimination method. Experiment is performed for a blower. The results show that the neural network with wavelet transform can detect surging sound well.
社団法人電子情報通信学会の論文
1998-03-25