A Hierarchical Decision Fusion Diagnosis Method for Rolling Bearings

A Hierarchical Decision Fusion Diagnosis Method for Rolling Bearings

In order to achieve accurate fault diagnosis of rolling bearings, a hierarchical decision fusion diagnosis method for rolling bearings is proposed. The hierarchical back propagation neural networks (BPNNs) architecture includes a fault detection layer, fault isolation layer and fault degree identifi...

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Bibliographic Details
Main Authors:	Jingzhou Fei, Xinran Lv, Yunpeng Cao, Shuying Li
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Applied Sciences
Subjects:	rolling bearings fault diagnosis decision fusion neural network
Online Access:	https://www.mdpi.com/2076-3417/11/2/739

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