Study on the Bearing Fault Diagnosis based on Feature Selection and Probabilistic Neural Network

Study on the Bearing Fault Diagnosis based on Feature Selection and Probabilistic Neural Network

To improve the aero- engine fault diagnosis accuracy grade,by using the DET and PNN classification techniques,a bearing fault diagnosis technique based on feature selection and PNN is put forward.Firstly,the bearing fault test data are extracted to form the multi- domain fault diagnosis feature set...

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Bibliographic Details
Main Authors: Liu Yunzhe, Hu Jinhai, Ren Litong, Yao Kaixiang, Duan Jinfeng, Chen Lin
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Transmission 2016-01-01
Series:Jixie chuandong
Subjects:
Aero-engine
Bearing
Fault diagnosis
Feature selection
PNN
Online Access:http://www.jxcd.net.cn/thesisDetails#10.16578/j.issn.1004.2539.2016.10.010
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