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- W2384824429 abstract "The fault diagnosis and prediction of helicopter driving system can improve its reliability and safety significantly.In this research,the fault diagnosis method composed of wavelet packet,local mean decomposition(LMD) and radial basis function neural network(RBF) is adopted.Firstly,the noise is wiped off from the signal by wavelet packet and the treated signal is decomposed by LMD;Then,RBF is trained by using the extracted feature vector;Finally,the faults of rolling are diagnosed by the treated RBF neural network.The reasearch results indicate that the presented method can effectively identify the rolling fault." @default.
- W2384824429 created "2016-06-24" @default.
- W2384824429 creator A5018178973 @default.
- W2384824429 date "2013-01-01" @default.
- W2384824429 modified "2023-09-23" @default.
- W2384824429 title "Fault Diagnosis of Rolling Bearing Based on RBF Neural Network and LMD" @default.
- W2384824429 hasPublicationYear "2013" @default.
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