A Deep Learning Based Fault Diagnosis Method With Hyperparameter Optimization by Using Parallel Computing

A Deep Learning Based Fault Diagnosis Method With Hyperparameter Optimization by Using Parallel Computing

Bearing fault diagnosis is of great significance to ensure the safe operation of mechanical equipment. This paper proposes an intelligent fault diagnosis method of rolling bearings based on deep belief network (DBN) with hyperparameter optimization by using parallel computing. Different with traditi...

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Bibliographic Details
Main Authors: Chaozhong Guo, Lin Li, Yuanyuan Hu, Jihong Yan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Deep belief network
hyperparameter optimization
parallel computing
fault diagnosis
Online Access:https://ieeexplore.ieee.org/document/9142182/

Internet

https://ieeexplore.ieee.org/document/9142182/

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