Extracting spatially global and local attentive features for rolling bearing fault diagnosis in electrical machines using attention stream networks
Author:
Affiliation:
1. Department of Electrical & Computer Engineering Electrical Machines Laboratory Democritus University of Thrace Xanthi Greece
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/elp2.12063
Reference49 articles.
1. Detection of Motor Bearing Outer Raceway Defect by Wavelet Packet Transformed Motor Current Signature Analysis
2. A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
3. Review of condition monitoring of rotating electrical machines
4. Gupta P. Pradhan M.K.:Fault detection analysis in rolling element bearing: a reviewPart A.Mater Today: Proceedings.4(2) 2085–2094.5thInternational Conference of Materials Processing and Characterization (ICMPC 2016). (2017)
5. Statistical signal processing approaches to fault detection
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