Retracted: Manifold learning‐based fuzzy k ‐principal curve similarity evaluation for wind turbine condition monitoring
Author:
Affiliation:
1. Discipline of ICT/School of Technology, Environments and DesignUniversity of Tasmania Hobart Tasmania Australia
2. School of EngineeringAMCUniversity of Tasmania Hobart Tasmania Australia
Funder
China Scholarship Council
Publisher
Wiley
Subject
General Energy,Safety, Risk, Reliability and Quality
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/ese3.247
Reference33 articles.
1. A data driven approach for condition monitoring of wind turbine blade using vibration signals through best-first tree algorithm and functional trees algorithm: A comparative study
2. Condition Monitoring of Wind Power System With Nonparametric Regression Analysis
3. Health monitoring of cooling fan bearings based on wavelet filter
4. A new wind turbine fault diagnosis method based on the local mean decomposition
5. Q Huang D Jiang L Hong Y Ding Application of Wavelet Neural Networks on Vibration Fault Diagnosis for Wind Turbine Gearbox//International Symposium on Neural Networks 2008 Springer Berlin Heidelberg 313 320
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