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2020

Fault diagnosis of wind turbine with SCADA alarms based multidimensional information processing method

Qiu, Y., Feng, Y. & Infield, D., 31 Jan 2020, In : Renewable Energy. 145, p. 1923-1931 9 p.

Research output: Contribution to journalArticle

Wind turbines
Failure analysis
Farms
Information fusion
Processing
2019
4 Citations (Scopus)
Condition monitoring
Wind turbines
Exponential functions
Fault detection
Chemical analysis
4 Citations (Scopus)
24 Downloads (Pure)

Comparison of advanced non-parametric models for wind turbine power curves

Pandit, R. K., Infield, D. & Kolios, A., 8 Jul 2019, In : IET Renewable Power Generation. 13, 9, p. 1503-1510 8 p.

Research output: Contribution to journalArticle

Open Access
File
Wind turbines
Support vector machines
Curve fitting
Fault detection
Data acquisition
4 Downloads (Pure)

SCADA based nonparametric models for condition monitoring of a wind turbine

Pandit, R. K. & Infield, D., 15 Mar 2019, In : The Journal of Engineering. p. 1-5 5 p.

Research output: Contribution to journalConference Contribution

Open Access
File
Condition monitoring
Wind turbines
Offshore wind turbines
Costs
Wind power
12 Citations (Scopus)

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

Zhang, J., Yan, J., Infield, D., Liu, Y. & Lien, F., 1 May 2019, In : Applied Energy. 241, p. 229-244 16 p.

Research output: Contribution to journalArticle

Uncertainty analysis
wind turbine
uncertainty analysis
Wind turbines
turbine
3 Citations (Scopus)
5 Downloads (Pure)
Open Access
File
Overhead lines
Temperature
Hot Temperature
11 Citations (Scopus)
2 Downloads (Pure)

Using high-frequency SCADA data for wind turbine performance monitoring: a sensitivity study

Gonzales, E., Stephen, B., Infield, D. & Melero, J. J., 28 Feb 2019, In : Renewable Energy. 131, p. 841-853 13 p.

Research output: Contribution to journalArticle

Open Access
File
Wind turbines
Monitoring
Condition monitoring
Farms
Turbines
2018
10 Downloads (Pure)
Open Access
File
wind turbines
pitch (inclination)
Condition monitoring
blades
Wind turbines
1 Citation (Scopus)
13 Downloads (Pure)

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 proceedingConference contribution book

Open Access
File
Condition monitoring
Wind turbines
Rotors
Support vector machines
Data acquisition
1 Citation (Scopus)
9 Downloads (Pure)
Open Access
File
Condition monitoring
Wind turbines
Turbomachine blades
Turbine components
Support vector machines
10 Downloads (Pure)
Open Access
File
Condition monitoring
Wind turbines
Rotors
Turbines
Costs
17 Downloads (Pure)
Open Access
File
Condition monitoring
Wind turbines
Curve fitting
Bins
Probability distributions
5 Citations (Scopus)
20 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 journalArticle

Open Access
File
Condition Monitoring
Wind Turbine
Condition monitoring
Gaussian Process
Wind turbines
6 Citations (Scopus)
3 Downloads (Pure)
Open Access
File
Wind turbines
Air
Curve fitting
Turbines
Condition monitoring
15 Citations (Scopus)
32 Downloads (Pure)
Open Access
File
Electric vehicles
Markov processes
Uncertainty analysis
Planning
Monte Carlo simulation
30 Downloads (Pure)
Open Access
File
Wind turbines
Turbines
Condition monitoring
Power generation
11 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. 0123

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Wind turbines
Distribution functions
Condition monitoring
Fault detection
Learning systems
6 Citations (Scopus)
26 Downloads (Pure)
Open Access
File
Condition monitoring
Wind turbines
Bins
Wind power
Probability distributions
8 Citations (Scopus)
31 Downloads (Pure)

Short-term wind power forecasting based on clustering pre-calculated CFD method

Wang, Y., Liu, Y., Li, L., Infield, D. & Han, S., 5 Apr 2018, In : Energies. 11, 4, 19 p., 854.

Research output: Contribution to journalArticle

Open Access
File
Wind Power
Computational Fluid Dynamics
Wind power
Forecasting
Computational fluid dynamics
3 Citations (Scopus)
18 Downloads (Pure)

Utilisation of alkaline electrolysers in existing distribution networks to increase the amount of integrated wind capacity

Kiaee, M., Infield, D. & Cruden, A., 30 Apr 2018, In : Journal of Energy Storage. 16, p. 8-20 13 p.

Research output: Contribution to journalArticle

Open Access
File
Electric power distribution
Hydrogen
Filling stations
Hydrogen fuels
Internal combustion engines
8 Downloads (Pure)
Open Access
File
Wind turbines
Monitoring
Anemometers
Wind power
Decomposition
2017
17 Citations (Scopus)
91 Downloads (Pure)

A spatial and temporal correlation analysis of aggregate wind power in an ideally interconnected Europe

Malvaldi, A., Weiss, S., Infield, D., Browell, J., Leahy, P. & Foley, A. M., 2 Mar 2017, In : Wind Energy. 16 p.

Research output: Contribution to journalArticle

Open Access
File
Wind power
Power generation
Electricity
Planning
11 Citations (Scopus)
129 Downloads (Pure)

On the use of high-frequency SCADA data for improved wind turbine performance monitoring

Gonzales, E., Stephen, B., Infield, D. & Melero, J., 23 Nov 2017, In : Journal of Physics: Conference Series. 926, 14 p., 012009.

Research output: Contribution to journalArticle

Open Access
File
wind turbines
Wind turbines
quantiles
transmissions (machine elements)
malfunctions
13 Citations (Scopus)
206 Downloads (Pure)
Open Access
File
Overhead lines
Fourier series
Hot Temperature
Mathematical operators
Monte Carlo methods
14 Citations (Scopus)
29 Downloads (Pure)

Realising transition pathways for a more electric, low carbon energy system in the UK: challenges, insights and opportunities

Chilvers, J., Foxon, T. J., Galloway, S., Hammond, G. P., Infield, D., Leach, M., Pearson, P. JG., Strachan, N., Strbac, G. & Thomson, M., 26 Mar 2017, In : Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy . 38 p.

Research output: Contribution to journalArticle

Open Access
File
Carbon
Electricity
Gas emissions
Greenhouse gases
Economics
257 Downloads (Pure)
Open Access
File
Electric vehicles
Electric potential
Electricity
Costs
Heuristic methods
60 Downloads (Pure)

Stability impact on wake development in moderately complex terrain

Infield, D. & Zorzi, G., 3 May 2017, (Accepted/In press) In : IOP Conference Series: Materials Science and Engineering. 10 p.

Research output: Contribution to journalArticle

Open Access
File
Turbines
Turbulence
Wind turbines
Farms
Computational fluid dynamics
4 Citations (Scopus)
12 Downloads (Pure)

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 proceedingConference contribution book

Open Access
File
Wind turbines
Offshore wind farms
Costs
Profitability
Turbines
2016
27 Citations (Scopus)
68 Downloads (Pure)

A hybrid forecasting method for wind power ramp based on Orthogonal Test and Support Vector Machine (OT-SVM)

Liu, Y., Sun, Y., Infield, D., Zhao, Y., Han, S. & Yan, J., 31 Aug 2016, In : IEEE Transactions on Sustainable Energy. PP, 99, p. 1-7 7 p.

Research output: Contribution to journalArticle

Open Access
File
Wind power
Support vector machines
Factor analysis
Electric power systems
Farms
38 Citations (Scopus)
155 Downloads (Pure)

Applying thermophysics for wind turbine drivetrain fault diagnosis using SCADA data

Qiu, Y., Feng, Y., Sun, J., Zhang, W. & Infield, D., 19 Jan 2016, In : IET Renewable Power Generation. 8 p.

Research output: Contribution to journalArticle

Open Access
File
Wind turbines
Failure analysis
Gear teeth
Vibration analysis
Temperature
29 Citations (Scopus)
1097 Downloads (Pure)

A review of grid-tied converter topologies used in photovoltaic systems

Xiao, W., El Moursi, M. S., Khan, O. & Infield, D., 14 Jun 2016, In : IET Renewable Power Generation. 22 p.

Research output: Contribution to journalArticle

Open Access
File
Topology
Maximum power point trackers
3 Citations (Scopus)
69 Downloads (Pure)

Deactivation mechanisms of atmospheric plasma spraying Raney nickel electrodes.

Chade, D., Berlouis, L., Infield, D., Nielsen, P. T. & Mathiesen, T., 14 Jan 2016, In : Journal of the Electrochemical Society. 163, 3, p. F308-F317 10 p.

Research output: Contribution to journalArticle

Open Access
File
Plasma spraying
Nickel
Hydrides
Electrodes
Cathodes
24 Downloads (Pure)

Detailed pseudo-static drive train modelling with generator short circuit

Warnock, C. & Infield, D., 3 Oct 2016, In : Journal of Physics: Conference Series. 753, 13 p., 112004.

Research output: Contribution to journalArticle

Open Access
File
short circuits
Short circuit currents
generators
transmissions (machine elements)
downtime
8 Citations (Scopus)
150 Downloads (Pure)

Mapping hail meteorological observations for prediction of erosion in wind turbines

MacDonald, H., Infield, D., Nash, D. H. & Stack, M. M., 1 Apr 2016, In : Wind Energy. 19, 4, p. 777-784 8 p.

Research output: Contribution to journalArticle

Open Access
File
Precipitation (meteorology)
Wind turbines
Erosion
Turbomachine blades
Kinetic energy
12 Citations (Scopus)
83 Downloads (Pure)

Numerical weather prediction wind correction methods and its impact on computational fluid dynamics based wind power forecasting

Liu, Y., Wang, Y., Li, L., Han, S. & Infield, D., 20 May 2016, In : Journal of Renewable and Sustainable Energy. 8, 3, 13 p., 033302.

Research output: Contribution to journalArticle

Open Access
File
Wind power
Computational fluid dynamics
Farms
Neural networks
Linear regression
7 Citations (Scopus)
88 Downloads (Pure)

Probabilistic weather forecasting for dynamic line rating studies

Fan, F., Bell, K. & Infield, D., 20 Jun 2016, 2016 Power Systems Computation Conference (PSCC). Piscataway. NJ.: IEEE, p. 1-7 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Weather forecasting
Overhead lines
Fourier series
Air
Probability distributions
47 Downloads (Pure)

Wind prediction enhancement by exploiting data non-stationarity

Malvaldi, A., Dowell, J., Weiss, S. & Infield, D., 17 Nov 2016, 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). Piscataway, N.J., 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Statistics
2015

Adjusting onshore failure rate data for cost effectiveness analysis of wind turbine condition monitoring offshore

Yu, X., Infield, D., Barbouchi, S. & Seraoui, R., 11 Jun 2015, ACSEE 2015, The Asian Conference on Sustainability, Energy and the Environment. 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Condition monitoring
Cost effectiveness
Wind turbines
Costs
Offshore wind farms
19 Citations (Scopus)
46 Downloads (Pure)

An electro-thermal analysis of a variable-speed doubly-fed induction generator in a wind turbine

Qiu, Y., Zhang, W., Cao, M., Feng, Y. & Infield, D., 24 Apr 2015, In : Energies. 8, 5, p. 3386-3402 17 p.

Research output: Contribution to journalArticle

Open Access
File
Thermal Analysis
Asynchronous generators
Wind Turbine
Wind turbines
Thermoanalysis

A numerical method to transfer an onshore wind turbine FMEA to offshore operational conditions

Yu, X., Infield, D., Barbouchi, S. & Seraoui, R., 7 Sep 2015, Renewable Energies Offshore. Guedes Soares, C. (ed.). Leiden, p. 961-966 7 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Wind turbines
Failure modes
Numerical methods
Offshore wind turbines
Turbine components
3 Citations (Scopus)
52 Downloads (Pure)

Kernel methods for short-term spatio-temporal wind prediction

Dowell, J., Weiss, S. & Infield, D., 30 Sep 2015, 2015 IEEE Power and Energy Society General Meeting. IEEE, 5 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Time series
328 Downloads (Pure)

Literature Review: Electrical Energy Storage for Scotland

Infield, D. & Hill, J., 2015, Glasgow: University of Strathclyde. 53 p.

Research output: Book/ReportCommissioned report

Open Access
File
Energy storage
Electricity
Hydrogen storage
Potential energy
Flow batteries
2 Citations (Scopus)
21 Downloads (Pure)

Monte Carlo modelling for domestic car use patterns in United Kingdom

Huang, S. & Infield, D., 15 Oct 2015, 2014 International Conference on Connected Vehicles and Expo, ICCVE 2014 - Proceedings. Piscataway, NJ.: IEEE, p. 68-73 6 p. 7297635

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
electric vehicle
Railroad cars
Electric vehicles
statistics
Statistics

Numerical methods for applying onshore failure rate to offshore operational conditions and assessing the benefits of condition monitoring

Yu, X., Infield, D., Barbouchi, S. & Seraoui, R., 18 May 2015. 12 p.

Research output: Contribution to conferencePaper

Condition monitoring
Numerical methods
Costs
Offshore wind farms
Turbines
180 Downloads (Pure)

Short-term forecasting of wind speed and direction exploiting data non-stationarity

Malvaldi, A., Dowell, J., Weiss, S. & Infield, D., 28 Apr 2015, (Accepted/In press) International Work-Conference on Time Series. Springer-Verlag, p. 1-12 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Time series
5 Citations (Scopus)
257 Downloads (Pure)

Wind forecasting using kriging and vector auto-regressive models for dynamic line rating studies

Fan, F., Bell, K., Hill, D. & Infield, D., 2 Jul 2015, 2015 IEEE Eindhoven PowerTech Proceedings. Piscataway, NJ.: IEEE, p. 1-6 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Open Access
File
Overhead lines
Interpolation
Cooling
2014
2 Citations (Scopus)

A probabilistic approach to assessing combined droop and inertial response from wind plant

Infield, D., 25 Sep 2014, 3rd Renewable Power Generation Conference (RPG 2014). CP651 ed. Vol. 2014. p. 6.2.3

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Frequency response
68 Downloads (Pure)
Open Access
File
wind farm
time series
wind power
wind field
coastal water
2 Citations (Scopus)
36 Downloads (Pure)

A widely linear multichannel Wiener filter for wind prediction

Dowell, J., Weiss, S., Infield, D. & Chandna, S., Jul 2014, p. 29-32. 4 p.

Research output: Contribution to conferencePaper

Open Access
File
Time measurement
Time series
9 Citations (Scopus)
272 Downloads (Pure)

Clustering methods of wind turbines and its application in short-term wind power forecasts

Liu, Y., Gao, X., Yan, J., Han, S. & Infield, D. G., 2014, In : Journal of Renewable and Sustainable Energy. 6, 5, 13 p., 053119.

Research output: Contribution to journalArticle

Open Access
File
Wind turbines
Wind power
Farms
Self organizing maps
Statistics