A Multiscale Feature Learning Scheme Based on Deep Learning for Industrial Process Monitoring and Fault Diagnosis

A Multiscale Feature Learning Scheme Based on Deep Learning for Industrial Process Monitoring and Fault Diagnosis

Considering that industrial data exhibit nonlinearity, high dimensionality and inherent multiscale characteristics, this paper proposes an intelligent industrial process monitoring and fault diagnosis method based on the discrete wavelet transform and deep learning. First, the discrete wavelet trans...

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Bibliographic Details
Main Authors: Jing Yuan, Ying Tian
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Intelligent fault diagnosis
industrial process
deep learning
convolutional neural network
nonlinear process monitoring
industrial application
Online Access:https://ieeexplore.ieee.org/document/8871174/

Internet

https://ieeexplore.ieee.org/document/8871174/

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