Research output per year
Research output per year
- 10 results
Search results
-
2018
Comparative analysis of binning and support vector regression for wind turbine rotor speed based power curve use in condition monitoring
Pandit, R. & Infield, D., 13 Dec 2018, 2018 53rd International Universities Power Engineering Conference (UPEC). Piscataway, NJ: IEEE, 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile9 Citations (Scopus)38 Downloads (Pure) -
Incorporating air density into a Gaussian process wind turbine power curve model for improving fitting accuracy
Pandit, R. K., Infield, D. & Carroll, J., 22 Oct 2018, In: Wind Energy. p. 1-14 14 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile38 Citations (Scopus)17 Downloads (Pure) -
Comparative assessments of binned and support vector regression-based blade pitch curve of a wind turbine for the purpose of condition monitoring
Pandit, R. K. & Infield, D., 12 Oct 2018, (E-pub ahead of print) In: International Journal of Energy and Environmental Engineering. p. 1-8 8 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Citations (Scopus)16 Downloads (Pure) -
Comparative analysis of binning and Gaussian Process based blade pitch angle curve of a wind turbine for the purpose of condition monitoring
Pandit, R. K. & Infield, D., 10 Oct 2018, In: Journal of Physics: Conference Series. 1102, 1, 10 p., 012037 .Research output: Contribution to journal › Article › peer-review
Open AccessFile9 Citations (Scopus)27 Downloads (Pure) -
Comparison of binned and Gaussian Process based wind turbine power curves for condition monitoring purposes
Pandit, R. K. & Infield, D., 1 Sept 2018, In: Journal of Maintenance Engineering. 2, 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile50 Downloads (Pure) -
Gaussian process operational curves for wind turbine condition monitoring
Pandit, R. & Infield, D., 22 Jun 2018, In: Energies. 11, 7, 20 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Citations (Scopus)28 Downloads (Pure) -
Performance assessment of a wind turbine using SCADA based Gaussian Process model
Pandit, R. K. & Infield, D., 20 Jun 2018, In: International Journal of Prognostics and Health Management. 9, 1, 8 p., 023.Research output: Contribution to journal › Article › peer-review
Open AccessFile13 Citations (Scopus)44 Downloads (Pure) -
SCADA-based wind turbine anomaly detection using Gaussian Process (GP) models for wind turbine condition monitoring purposes
Pandit, R. K. & Infield, D., 31 May 2018, (E-pub ahead of print) In: IET Renewable Power Generation. 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile76 Citations (Scopus)45 Downloads (Pure) -
QQ plot for assessment of Gaussian Process wind turbine power curve error distribution function
Pandit, R. & Infield, D., 9 Feb 2018, (Accepted/In press) 9th European Workshop on Structural Health Monitoring. Northampton, 11 p. 0123Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile41 Downloads (Pure) -
2017
Using Gaussian process theory for wind turbine power curve analysis with emphasis on the confidence intervals
Pandit, R. K. & Infield, D., 18 Aug 2017, 2017 6th International Conference on Clean Electrical Power (ICCEP). Piscataway, N.J.: IEEE, p. 744-749 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book
Open AccessFile12 Citations (Scopus)59 Downloads (Pure)