An Improved PixelHop Framework and its Application in Rolling Bearing Fault Diagnosis

An Improved PixelHop Framework and its Application in Rolling Bearing Fault Diagnosis

The PixelHop framework based on successive subspace learning (SSL) has been widely used in signal processing and computer vision, which can effectively improve the classification accuracy in high spatial resolution scenes through successive subspace growth. To solve the problems of insufficient feat...

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Bibliographic Details
Main Authors: Lanjun Wan, Zheng Zhou, Kun Gong, Gen Zhang, Yuanyuan Li, Changyun Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Fault diagnosis
machine learning
object classification
rolling bearing
successive subspace learning
Online Access:https://ieeexplore.ieee.org/document/9568931/

Internet

https://ieeexplore.ieee.org/document/9568931/

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