Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis

Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis

This paper proposes a new diagnosis technique for predicting the big data of roller bearing multi-level fault, which uses the deep learning method for the feature representation of the vibration signal and an optimized machine learning model. First, vibration feature extraction by stacked auto-encod...

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Bibliographic Details
Main Authors: Nguyen VietHung, Cheng JunSheng, Thai VanTrong
Format: Article
Language:English
Published: Sciendo 2022-08-01
Series:Measurement Science Review
Subjects:
multi-level fault
sae transfer learning
vibration feature
deep learning
lssvm-pso classifier model
Online Access:https://doi.org/10.2478/msr-2022-0022

Internet

https://doi.org/10.2478/msr-2022-0022

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