Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

Recently, research on data-driven bearing fault diagnosis methods has attracted increasing attention due to the availability of massive condition monitoring data. However, most existing methods still have difficulties in learning representative features from the raw data. In addition, they assume th...

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Main Authors: Gaowei Xu, Min Liu, Zhuofu Jiang, Dirk Söffker, Weiming Shen
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI AG 2019-03-01
Colecção:Sensors
Assuntos:
bearing fault diagnosis
convolutional neural network (CNN)
random forest (RF)
continuous wavelet transform (CWT)
ensemble learning
Acesso em linha:http://www.mdpi.com/1424-8220/19/5/1088
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