P.J. Tavner

Durham University — United Kingdom

Engineering · Physical Sciences

39h-index10.4kcitations104works0.02yr avg
OpenAlex↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Machine Fault Diagnosis Techniques(36), Electric Motor Design and Analysis(33), Wind Turbine Control Systems(29), Power System Reliability and Maintenance(16), Wind Energy Research and Development(15)

Publications104 total

Turbulence and Uncertainty for Future Renewable Energy Reliability
Springer proceedings in physics·2021
Reliability Comparison of Direct-Drive and Geared-Drive Wind Turbine Concepts
Renewable Energy·2018
Electrical & mechanical diagnostic indicators of wind turbine induction generator rotor faults
Renewable Energy·2018· 59 citedOpen Access
Long-term research challenges in wind energy – a research agenda by the European Academy of Wind Energy
Wind energy science·2016· 291 citedOpen Access
Reliability and Uncertainty Modelling
Research topics in wind energy·2016· 1 cited
Survey of commercially available SCADA data analysis tools for wind turbine health monitoring.
Durham Research Online (Durham University)·2014· 22 citedOpen Access
Low voltage ride-through of DFIG and brushless DFIG: Similarities and differences
Electric Power Systems Research·2014· 70 cited
Bearing currents in wind turbine generators
Journal of Renewable and Sustainable Energy·2013· 34 citedOpen Access
Design and performance analysis of a 6 MW medium-speed brushless DFIG
2013· 20 cited
Design and performance analysis of a 5 MW medium-speed brushless DFIG drivetrain
Cambridge University Engineering Department Publications Database·2013· 3 cited
Experimental LVRT performance of a 250 kW brushless DFIG
Cambridge University Engineering Department Publications Database·2012· 2 cited
Design and testing of a medium-speed 250 kW Brushless DFIG
Cambridge University Engineering Department Publications Database·2012· 2 cited
Performance of the brushless doubly-fed machine under normal and fault conditions
IET Electric Power Applications·2012· 29 citedOpen Access
Condition monitoring of wind turbine induction generators with rotor electrical asymmetry
IET Renewable Power Generation·2012· 100 citedOpen Access
Review of recent offshore wind power developments in china
Wind Energy·2012· 40 citedOpen Access
Study of weather and location effects on wind turbine failure rates
Wind Energy·2012· 103 citedOpen Access
Bayesian network for wind turbine fault diagnosis.
Durham Research Online (Durham University)·2012· 11 citedOpen Access
An online technique for condition monitoring the induction generators used in wind and marine turbines
Mechanical Systems and Signal Processing·2012· 55 cited
Wind turbine condition monitoring using generator control loop signals
2012· 10 cited
Design and testing of a 250 kW medium-speed brushless DFIG
2012· 26 cited
page 1 of 6Next →

Frequent Co-authors

Li Ran(9), Dawei Xiang(6), Wenxian Yang(6), Christopher Crabtree(6), Hashem Oraee(5), H. Long(5), Yuanjing Feng(5), F. Spinato(4), M. Wilkinson(4), Richard McMahon(4), Shaoyong Yang(3), A.T. Bryant(3), Philip Mawby(3), Henk Polinder(3), G.J.W. van Bussel(3), H. Arabian‐Hoseynabadi(3), J.R. Bumby(3), Yiran Feng(3), Siniša Djurović(3), Ehsan Abdi(3)