Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals

Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals

This paper deals with gear pitting fault diagnosis problem and presents a method by integrating convolutional neural network (CNN) and gated recurrent unit (GRU) networks with vibration and acoustic emission signals to solve the problem. The presented method first trains a one-dimensional CNN with a...

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Bibliographic Details
Main Authors: Xueyi Li, Jialin Li, Yongzhi Qu, David He
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Applied Sciences
Subjects:
gear pitting fault diagnosis
gated recurrent unit
one-dimensional convolutional neural network
acoustic emission signal
vibration signal
Online Access:https://www.mdpi.com/2076-3417/9/4/768

Internet

https://www.mdpi.com/2076-3417/9/4/768

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