A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis

Author:

Liu Yuanhong,Shi Baoxin,Lu Shixiang,Gao Zhi-WeiORCID,Zhang Fangfang

Publisher

Elsevier BV

Reference33 articles.

1. Class-imbalance privacy-preserving federated learning for decentralized fault diagnosis with biometric authentication;Lu;IEEE Trans Ind Inf,2022

2. A survey of fault diagnosis and fault-tolerant techniques—Part II: Fault diagnosis with knowledge-based and hybrid/active approaches;Zhiwei;IEEE Trans Ind Electron,2015

3. Applications of machine learning to machine fault diagnosis: A review and roadmap;Lei;Mech Syst Signal Process,2020

4. An integrated multitasking intelligent bearing fault diagnosis scheme based on representation learning under imbalanced sample condition;Zhang;IEEE Trans Neural Netw Learn Syst,2023

5. The fault frequency priors fusion deep learning framework with application to fault diagnosis of offshore wind turbines;Xie;Renew Energy,2023

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