Fault Diagnosis of Rolling Bearing Based on Improved Convolutional Neural Network
Author:
Affiliation:
1. School of Engineering, Huzhou University,Huzhou,China,313000
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9858328/9858343/09858533.pdf?arnumber=9858533
Reference21 articles.
1. Convolutional Neural Network Based Fault Detection for Rotating Machinery;verstockt;Journal of Sound and Vibration,2016
2. Adaptive Fault Diagnosis Algorithm for Rolling Bearing Based on One-dimensional Convolutional Neural Network;qu;Journal of Scientific Instruments,2018
3. A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals;wei;SENSORS,2017
4. Deep-Learning Method Based on 1D Convolutional Neural Network for Intelligent Fault Diagnosis of Rotating Machines
5. Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals
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