Fault Diagnosis of Motor Bearings Based on a Convolutional Long Short-Term Memory Network of Bayesian Optimization

Fault Diagnosis of Motor Bearings Based on a Convolutional Long Short-Term Memory Network of Bayesian Optimization

As the main driving equipment of modern industrial production activities, if a motor fails, it causes serious consequences. Bearings are the component with the highest motor failure frequency. It is of practical engineering significance to establish a high-precision algorithm diagnostic model for mo...

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Bibliographic Details
Main Authors: Zhen Li, Yang Wang, Jianeng Ma
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
LSTM
Bayesian optimization
fault diagnosis of motor bearings
Online Access:https://ieeexplore.ieee.org/document/9467273/

Internet

https://ieeexplore.ieee.org/document/9467273/

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