Wind turbine gearbox fault diagnosis using SAE-BP transfer neural network

Yu Wang, Shuai Yang, RenéVinicio Sánchez

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)2504-2514
Number of pages11
JournalInternational Journal of Performability Engineering
Volume15
Issue number9
DOIs
StatePublished - 1 Jan 2019

Bibliographical note

Funding Information:
This work was funded by the Program of Chongqing Municipal Education Commission (No. KJZH17123), Research Start-Up Funds of Chongqing Technology and Business University (No. 1856018), Program of Chongqing Municipal Education Commission (No. KJQN201800830), MOST Science and Technology Partnership Program (No. KY201802006), and National Key Research & Development Program of China (No. 2016YFE0132200).

Publisher Copyright:
© 2019 Totem Publisher, Inc. All rights reserved.

Keywords

  • BP algorithm
  • Gearbox
  • Intelligent fault diagnosis
  • Sparse autoencoder
  • Transfer learning

Fingerprint Dive into the research topics of 'Wind turbine gearbox fault diagnosis using SAE-BP transfer neural network'. Together they form a unique fingerprint.

Cite this