Professor Christopher Crabtree c.j.crabtree@durham.ac.uk
Professor
Detecting Incipient Gearbox Failure in Wind Turbines: A New Signal Analysis Method for Online Condition Monitoring
Crabtree, C.J.; Feng, Y.; Tavner, P.J.
Authors
Y. Feng
P.J. Tavner
Citation
Crabtree, C., Feng, Y., & Tavner, P. (2010, December). Detecting Incipient Gearbox Failure in Wind Turbines: A New Signal Analysis Method for Online Condition Monitoring. Presented at European Wind Energy Conference, Warsaw, Poland
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | European Wind Energy Conference |
| Publication Date | 2010 |
| Deposit Date | Aug 15, 2011 |
| Public URL | https://durham-repository.worktribe.com/output/1157876 |
You might also like
Understanding wind turbine power converter reliability under realistic wind conditions
(2024)
Journal Article
Convolutional neural network framework for wind turbine electromechanical fault detection
(2023)
Journal Article
Integrated condition-based maintenance modelling and optimisation for offshore wind farms
(2021)
Journal Article
Offshore Wind Turbine Reliability and Operational Simulation under Uncertainties
(2020)
Journal Article
Downloadable Citations
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search