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An enhancement denoising autoencoder for rolling bearing fault diagnosis

  • Published:2018-12 Issue: Volume:130 Page:448-454
  • ISSN:0263-2241
  • Container-title:Measurement
  • language:en
  • Short-container-title:Measurement

Author:

Meng Zong,Zhan XuyangORCID,Li Jing,Pan Zuozhou

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hebei Province of China

Office of Education Scientific Research Projects of Hebei Province of China

Returned Overseas Chinese Scholars Foundation of Hebei Province of China

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference31 articles.

1. Rolling element bearing diagnostics—a tutorial;Randall;Mech. Syst. Signal Process.,2011

2. Condition monitoring and fault diagnosis of planetary gearboxes: a review;Lei;Measurement,2014

3. Feature fusion using kernel joint approximate diagonalization of eigen-matrices for rolling bearing fault identification;Liu;J. Sound Vib.,2016

4. Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network;Wang;Comput. Ind. Eng.,2011

5. Neural network approach for a combined performance and mechanical health monitoring of a gas turbine engine;Barad;Mech. Syst. Signal Process.,2012

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