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Professor Christopher J Crabtree
Professor Christopher J Crabtree
Durham University, Department of Engineering
Dirección de correo verificada de durham.ac.uk
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Citado por
Citado por
Año
Wind turbine condition monitoring: technical and commercial challenges
W Yang, PJ Tavner, CJ Crabtree, Y Feng, Y Qiu
Wind Energy 17 (5), 673-693, 2014
5492014
Condition Monitoring of Rotating Electrical Machines, 3rd Ed., Energy Engineering 145
PJ Tavner, L Ran, CJ Crabtree
The Institution of Engineering and Technology, 2020
499*2020
Cost-effective condition monitoring for wind turbines
W Yang, PJ Tavner, CJ Crabtree, M Wilkinson
Industrial Electronics, IEEE Transactions on 57 (1), 263-271, 2010
4582010
Monitoring wind turbine gearboxes
Y Feng, Y Qiu, CJ Crabtree, H Long, PJ Tavner
Wind Energy 16 (5), 728-740, 2013
2992013
Condition monitoring of the power output of wind turbine generators using wavelets
SJ Watson, BJ Xiang, W Yang, PJ Tavner, CJ Crabtree
IEEE Transactions on Energy Conversion 25 (3), 715-721, 2010
2762010
Wind turbine reliability data review and impacts on levelised cost of energy
C Dao, B Kazemtabrizi, C Crabtree
Wind Energy 22 (12), 1848-1871, 2019
2062019
Survey of commercially available condition monitoring systems for wind turbines.
CJ Crabtree, D Zappalá, PJ Tavner
Durham University School of Engineering and Computing Sciences and the …, 2014
1922014
Condition monitoring of wind turbine induction generators with rotor electrical asymmetry
S Djurovic, CJ Crabtree, PJ Tavner, AC Smith
IET Renewable Power Generation 6 (4), 207-216, 2012
1322012
Wind energy: UK experiences and offshore operational challenges
CJ Crabtree, D Zappalá, SI Hogg
Proceedings of the Institution of Mechanical Engineers, Part A: Journal of …, 2015
1232015
Side-band algorithm for automatic wind turbine gearbox fault detection and diagnosis
D Zappalá, PJ Tavner, CJ Crabtree, S Sheng
IET Renewable Power Generation 8 (4), 380-389, 2014
1082014
Side-band algorithm for automatic wind turbine gearbox fault detection and diagnosis
D Zappalá, PJ Tavner, CJ Crabtree, S Sheng
IET Renewable Power Generation 8 (4), 380-389, 2014
1082014
Sideband Algorithm for Automatic Wind Turbine Gearbox Fault Detection and Diagnosis
D Zappalà, P Tavner, C Crabtree, S Sheng
European Wind Energy Association (EWEA) Conference, Vienna, Austria, 2013
1082013
Detecting incipient wind turbine gearbox failure: a signal analysis method for on-line condition monitoring
CJ Crabtree, Y Feng, PJ Tavner
Proceedings of European Wind Energy Conference (EWEC 2010), Warsaw, Poland …, 2010
1012010
Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring
W Yang, R Court, PJ Tavner, CJ Crabtree
Journal of Sound and Vibration 330 (15), 3766-3782, 2011
972011
Use of SCADA and CMS signals for failure detection and diagnosis of a wind turbine gearbox
Y Feng, Y Qiu, CJ Crabtree, H Long, PJ Tavner
EWEA, 2011
932011
Detection of Rotor Electrical Asymmetry in Wind Turbine Doubly-Fed Induction Generators.
MN Zaggout, PJ Tavner, CJ Crabtree, L Ran
Renewable Power Generation., 2014
672014
Condition monitoring techniques for wind turbines
C CRABTREE
Durham University, 2011
642011
An effective approach for rotor electrical asymmetry detection in wind turbine DFIGs
RK Ibrahim, SJ Watson, S Djurović, CJ Crabtree
IEEE Transactions on Industrial Electronics 65 (11), 8872-8881, 2018
632018
Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults
D Zappalá, N Sarma, S Djurović, CJ Crabtree, A Mohammad, PJ Tavner
Renewable Energy 131, 14-24, 2019
592019
Survey of commercially available SCADA data analysis tools for wind turbine health monitoring.
B Chen, D Zappalá, CJ Crabtree, PJ Tavner
Durham University School of Engineering and Computing Sciences, 2014
462014
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Artículos 1–20