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Intrinsic component filtering for fault diagnosis of rotating machinery

  • Published:2021-01 Issue:1 Volume:34 Page:397-409
  • ISSN:1000-9361
  • Container-title:Chinese Journal of Aeronautics
  • language:en
  • Short-container-title:Chinese Journal of Aeronautics

Author:

ZHANG Zongzhen,LI Shunming,LU Jiantao,XIN Yu,MA Huijie

Funder

National Natural Science Foundation of China

National Major Science and Technology Projects of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference33 articles.

1. Construction of batch-normalized autoencoder network and its application in mechnical intelligent fault diagnosis;Wang;Meas Sci Technol,2019

2. An intelligent fault diagnosis method using unsupervised feature learning towards mechanical big data;Lei;IEEE Trans Ind Electron,2015

3. A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines;Jia;Neurocomputing,2018

4. Extracting and composing robust features with denoising autoencoders;Vincent,2008

5. Sparse filtering;Ngiam;Adv Neural Inform Process Syst,2011

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