Automated wavelet selection and thresholding for PD detection X Ma, C Zhou, IJ Kemp IEEE Electrical Insulation Magazine 18 (2), 37-45, 2002 | 371 | 2002 |
Interpretation of wavelet analysis and its application in partial discharge detection X Ma, C Zhou, IJ Kemp IEEE Transactions on Dielectrics and Electrical Insulation 9 (3), 446-457, 2002 | 360 | 2002 |
A stacked GRU-RNN-based approach for predicting renewable energy and electricity load for smart grid operation M Xia, H Shao, X Ma, CW De Silva IEEE Transactions on Industrial Informatics 17 (10), 7050-7059, 2021 | 225 | 2021 |
Wind turbine fault detection and identification through PCA-based optimal variable selection Y Wang, X Ma, P Qian IEEE Transactions on Sustainable Energy 9 (4), 1627-1635, 2018 | 139 | 2018 |
Hardware and software design for an electromagnetic induction tomography (EMT) system for high contrast metal process applications X Ma, AJ Peyton, SR Higson, A Lyons, SJ Dickinson Measurement Science and Technology 17 (1), 111, 2005 | 135 | 2005 |
A Digital Method for the Discrimination of Neutrons and Rays With Organic Scintillation Detectors Using Frequency Gradient Analysis G Liu, MJ Joyce, X Ma, MD Aspinall IEEE Transactions on Nuclear Science 57 (3), 1682-1691, 2010 | 117 | 2010 |
The influence of power-take-off control on the dynamic response and power output of combined semi-submersible floating wind turbine and point-absorber wave energy converters Y Si, Z Chen, W Zeng, J Sun, D Zhang, X Ma, P Qian Ocean Engineering 227, 108835, 2021 | 111 | 2021 |
A three-dimensional inverse finite-element method applied to experimental eddy-current imaging data M Soleimani, WRB Lionheart, AJ Peyton, X Ma, SR Higson IEEE Transactions on Magnetics 42 (5), 1560-1567, 2006 | 110 | 2006 |
An investigation of the digital discrimination of neutrons and γ rays with organic scintillation detectors using an artificial neural network G Liu, MD Aspinall, X Ma, MJ Joyce Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2009 | 102 | 2009 |
Heuristic algorithm based optimal power flow model incorporating stochastic renewable energy sources IU Khan, N Javaid, KAA Gamage, CJ Taylor, S Baig, X Ma IEEE Access 8, 148622-148643, 2020 | 97 | 2020 |
Eddy current measurements of electrical conductivity and magnetic permeability of porous metals X Ma, AJ Peyton, YY Zhao Ndt & E International 39 (7), 562-568, 2006 | 95 | 2006 |
A review of forecasting algorithms and energy management strategies for microgrids J Ma, X Ma Systems Science & Control Engineering 6 (1), 237-248, 2018 | 93 | 2018 |
Generic model of a community-based microgrid integrating wind turbines, photovoltaics and CHP generations X Ma, Y Wang, J Qin Applied energy 112, 1475-1482, 2013 | 86 | 2013 |
Dynamic imaging in electrical capacitance tomography and electromagnetic induction tomography using a Kalman filter M Soleimani, M Vauhkonen, W Yang, A Peyton, BS Kim, X Ma Measurement science and technology 18 (11), 3287, 2007 | 75 | 2007 |
Electromagnetic techniques for imaging the cross-section distribution of molten steel flow in the continuous casting nozzle X Ma, AJ Peyton, R Binns, SR Higson IEEE Sensors Journal 5 (2), 224-232, 2005 | 65 | 2005 |
Nonlinear system identification for model-based condition monitoring of wind turbines P Cross, X Ma Renewable Energy 71, 166-175, 2014 | 61 | 2014 |
A stacked machine and deep learning-based approach for analysing electricity theft in smart grids IU Khan, N Javeid, CJ Taylor, KAA Gamage, X Ma IEEE Transactions on Smart Grid 13 (2), 1633-1644, 2021 | 59 | 2021 |
Data-driven condition monitoring approaches to improving power output of wind turbines P Qian, X Ma, D Zhang, J Wang IEEE Transactions on Industrial Electronics 66 (8), 6012-6020, 2018 | 59 | 2018 |
Eddy current measurement of the electrical conductivity and porosity of metal foams X Ma, AJ Peyton IEEE Transactions on instrumentation and measurement 55 (2), 570-576, 2006 | 58 | 2006 |
Development of multiple frequency electromagnetic induction systems for steel flow visualization X Ma, AJ Peyton, SR Higson, P Drake Measurement Science and Technology 19 (9), 094008, 2008 | 55 | 2008 |