Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Journal of Mechanical Science and Technology
Published in: Journal of Mechanical Science and Technology 11/2023

08-11-2023 | Original Article

A new hybrid method for bearing fault diagnosis based on CEEMDAN and ACPSO-BP neural network

Authors: Shanshan Song, Shuqing Zhang, Wei Dong, Xiaowen Zhang, Wei Ma

Published in: Journal of Mechanical Science and Technology | Issue 11/2023

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …
previous article Acoustic signal analysis for gear fault diagnosis using a uniform circular microphone array
next article Optimal design of nuclear power plants containment with tuned mass damper inerter device for earthquake loadings

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now
Metadata
Title
A new hybrid method for bearing fault diagnosis based on CEEMDAN and ACPSO-BP neural network
Authors
Shanshan Song
Shuqing Zhang
Wei Dong
Xiaowen Zhang
Wei Ma
Publication date
08-11-2023
Publisher
Korean Society of Mechanical Engineers
Published in
Journal of Mechanical Science and Technology / Issue 11/2023
Print ISSN: 1738-494X
Electronic ISSN: 1976-3824
DOI
https://doi.org/10.1007/s12206-023-1003-7

Other articles of this Issue 11/2023

Journal of Mechanical Science and Technology 11/2023 Go to the issue

Original Article

Determination of line heating conditions for plate forming using the strain directed boundary method based on deformation superposition

Original Article

Morphological, microstructural, and mechanical study of FGM coatings prepared using the HVOF technique

Original Article

Experimental investigation of non-condensable gas effects in a natural circulation system

Original Article

Optimal design of nuclear power plants containment with tuned mass damper inerter device for earthquake loadings

Invited Review Article

Sustainable 3D printing with recycled materials: a review

Original Article

Influence of process parameters on temperature field and residual strain in FFF-printed parts

Premium Partners

    Image Credits