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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
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publications
Frequency domain soil parameters inversion of horizontally multilayered earth model with considering high‐frequency field
Published in IET Generation, Transmission & Distribution, 2018
Recommended citation: Li Z.X., Rao S.W. "Frequency domain soil parameters inversion of horizontally multilayered earth model with considering high-frequency field", IET Generation, Transmission & Distribution, 12 (21), 5690–5699. doi:10.1049/iet-gtd.2018.5599
The determination of frequency domain soil parameters of horizontally layered structure by using dipole‐dipole array
Published in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 2019
Recommended citation: Li Z.X., Rao S.W. "The determination of frequency domain soil parameters of horizontally layered structure by using dipole-dipole array", International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, 32 (5), e2578. doi:10.1002/jnm.2578
Estimation of frequency domain soil parameters of horizontally multilayered earth by using Cole–Cole model based on the parallel genetic algorithm
Published in IET Generation, Transmission & Distribution, 2019
Recommended citation: Li Z.X., Rao S.W. "Estimation of frequency domain soil parameters of horizontally multilayered earth by using Cole–Cole model based on the parallel genetic algorithm", IET Generation, Transmission & Distribution, 13 (9), 1746–1754. doi:10.1049/iet-gtd.2018.6862
The inversion of one-dimensional soil parameters in the frequency domain with considering multilayered earth based on simulated annealing algorithm
Published in IEEE Transactions on Electromagnetic Compatibility, 2019
Recommended citation: Li Z.X., Rao S.W. (Corresponding author), "The Inversion of One-Dimensional Soil Parameters in the Frequency Domain With Considering Multilayered Earth Based on Simulated Annealing", IEEE Transactions on Electromagnetic Compatibility, 62 (2), 425–432. doi:10.1109/TEMC.2019.2906486
The optimization of soil parameters of horizontally multilayered soil in frequency domain by genetic algorithm with considering dynamic state field
Published in Electric Power Systems Research, 2021
Recommended citation: Li Z.X., Rao S.W., Zhao Y. "The optimization of soil parameters of horizontally multilayered soil in frequency domain by genetic algorithm with considering dynamic state field", Electric Power Systems Research, 198. doi:10.1016/j.epsr.2021.107279
Fault diagnosis of power transformers using ANN and SMOTE algorithm
Published in International Journal of Applied Electromagnetics and Mechanics, 2022
Recommended citation: Rao S.W., Zou G. P., Yang S.Y., Khan S. A. "Fault diagnosis of power transformers using ANN and SMOTE algorithm", International Journal of Applied Electromagnetics and Mechanics, 70(4), 345–355, doi:10.3233/JAE- 210227
A methodology for transformer fault diagnosis based on the feature extraction from DGA data
Published in International Journal of Applied Electromagnetics and Mechanics, 2023
Recommended citation: Rao S.W., Yang S.Y., Zou G.P. "A methodology for transformer fault diagnosis based on the feature extraction from DGA data", International Journal of Applied Electromagnetics and Mechanics, 71(S1), S313–S320, doi:10.3233/JAE-220169
A Methodology to Diagnose Transformer Faults Based on the Multi-Objective Optimization and the Case-Based Reasoning
Published in Electric Power Components and Systems, 2023
Recommended citation: Rao S.W., Zou G.P., Yang S.Y. "A Methodology to Diagnose Transformer Faults Based on the Multi-Objective Optimization and the Case-Based Reasoning", Electric Power Components and Systems, 1-12, doi:10.1080/ 15325008.2023.2204869
Convolutional neural networks applied to dissolved gas analysis for power transformers condition monitoring
Published in International Journal of Applied Electromagnetics and Mechanics, 2023
Recommended citation: Rao S.W., Yang S.Y., Tucci M., Barmada S. "Convolutional neural networks applied to dissolved gas analysis for power transformers condition monitoring", International Journal of Applied Electromagnetics and Mechanics, 1-17, doi:10.3233/JAE-230011
A feature selection and ensemble learning based methodology for transformer fault diagnosis
Published in Applied Soft Computing, 2024
Recommended citation: Rao S.W., Zou G.P., Yang S.Y., Barmada S. "A feature selection and ensemble learning based methodology for transformer fault diagnosis", Applied Soft Computing, 150, 111072, doi:10.1016/j.asoc.2023.111072