"A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating ..."

Yangde Gao, Cheol Hong Kim, Jong-Myon Kim (2021)

> Home

Details and statistics

DOI: 10.3390/S21196614

access: open

type: Journal Article

metadata version: 2022-01-21

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/GaoKK21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/GaoKK21
Yangde Gao, Cheol Hong Kim, Jong-Myon Kim:
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory. Sensors 21(19): 6614 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.