Deep Clustering Bearing Fault Diagnosis Method Based on Local Manifold Learning of an Autoencoded Embedding

Deep Clustering Bearing Fault Diagnosis Method Based on Local Manifold Learning of an Autoencoded Embedding

In many practical fault diagnosis applications, the acquisition of fault data labels requires substantial manpower and resources, which are sometimes impossible to achieve. To address this, an unsupervised bearing fault diagnosis method based on deep clustering is proposed. In this method, an autoen...

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Bibliographic Details
Main Authors: Jing An, Ping Ai, Cong Liu, Sen Xu, Dakun Liu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Bearing fault diagnosis
autoencoded embedding representation
local manifold learning
manifold re-embedding
deep clustering
clusterable manifold
Online Access:https://ieeexplore.ieee.org/document/9354608/

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