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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Detalhes bibliográficos

Principais autores:	Lanjun Wan, Hongyang Li, Gen Zhang, Changyun Li, Junfeng Man, Mansheng Xiao
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2021-01-01
coleção:	IEEE Access
Assuntos:	Back propagation neural network fault diagnosis GPU parallelization quantum particle swarm optimization rolling bearing
Acesso em linha:	https://ieeexplore.ieee.org/document/9400414/
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