Rolling Bearing Fault Diagnosis Method Based on Parallel QPSO-BPNN Under Spark-GPU Platform

Rolling Bearing Fault Diagnosis Method Based on Parallel QPSO-BPNN Under Spark-GPU Platform

Facing the massive rolling bearing vibration data, how to improve the training efficiency, diagnosis efficiency, and diagnosis accuracy of the rolling bearing fault diagnosis model is a challenge. Considering that the Spark-GPU platform provides powerful distributed parallel computing capabilities a...

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Bibliographic Details
Main Authors: Lanjun Wan, Hongyang Li, Gen Zhang, Changyun Li, Junfeng Man, Mansheng Xiao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Back propagation neural network
fault diagnosis
GPU
parallelization
quantum particle swarm optimization
rolling bearing
Online Access:https://ieeexplore.ieee.org/document/9400414/

Internet

https://ieeexplore.ieee.org/document/9400414/

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