"A Data-Driven Design for Fault Detection of Wind Turbines Using Random ..."

Dahai Zhang et al. (2018)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2018.2818678

access: open

type: Journal Article

metadata version: 2025-11-01

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/ZhangQMHHS18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/ZhangQMHHS18
Dahai Zhang, Liyang Qian, Baijin Mao, Can Huang, Bin Huang, Yulin Si:
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost. IEEE Access 6: 21020-21031 (2018)

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.