A review on insulation and dielectrics for high-temperature superconducting cables for power distribution: Progress, challenges, and prospects

A Paramane, M Awais… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The high-temperature superconducting (HTS) ac and dc cables are gradually finding their
way toward commercialization due to their ability to transfer bulk electric power with …

[HTML][HTML] Integrating discrete wavelet transform with neural networks and machine learning for fault detection in microgrids

A Cano, P Arévalo, D Benavides, F Jurado - International Journal of …, 2024 - Elsevier
Microgrids are essential for integrating renewable energy sources into the power grid.
However, fault detection is challenging due to bidirectional energy flow. Traditional relay …

Artificial intelligence, machine learning, deep learning, and big data techniques for the advancements of superconducting technology: a road to smarter and intelligent …

M Yazdani-Asrami - Superconductor Science and Technology, 2023 - iopscience.iop.org
The last 100 years of experience within the superconducting community have proven that
addressing the challenges faced by this technology often requires incorporation of other …

[HTML][HTML] Intelligent estimation of critical current degradation in HTS tapes under repetitive overcurrent cycling for cryo-electric transportation applications

A Sadeghi, SA Bonab, W Song… - Materials Today …, 2024 - Elsevier
Overcurrent cycling refers to the procedure of imposing repetitive overcurrent to
superconducting tapes/devices for characterizing their critical current reduction …

Smart fault detection of HTS coils using artificial intelligence techniques for large-scale superconducting electric transport applications

M Yazdani-Asrami, L Fang, X Pei… - … Science and Technology, 2023 - iopscience.iop.org
Superconducting coil is an essential and critical component in any superconducting
apparatus used in large-scale power applications such as in superconducting machines of …

[HTML][HTML] Estimation of critical current density of bulk superconductor with artificial neural network

G Wu, H Yong - Superconductivity, 2023 - Elsevier
In the applications of superconducting materials, the critical current density J c B is a crucial
performance parameter. The conventional method of measuring J c B of bulk …

[HTML][HTML] Critical current parameterization of high temperature superconducting tapes: A novel approach based on fuzzy logic

NVU Suresh, A Sadeghi, M Yazdani-Asrami - Superconductivity, 2023 - Elsevier
In this study a novel method was presented to parameterize the critical current of Yttrium
Barium Copper Oxide (YBCO) tapes based on their width, thickness, magnetothermal …

A new intelligent estimation method based on the cascade-forward neural network for the electric and magnetic fields in the vicinity of the high voltage overhead …

S Alipour Bonab, W Song, M Yazdani-Asrami - Applied Sciences, 2023 - mdpi.com
The evaluation and estimation of the electric and magnetic field (EMF) intensity in the vicinity
of overhead transmission lines (OHTL) is of paramount importance for residents' healthcare …

Ultra-fast surrogate model for magnetic field computation of a superconducting magnet using multi-layer artificial neural networks

M Yazdani-Asrami, A Sadeghi, W Song - Journal of Superconductivity and …, 2023 - Springer
Due to the inherent nonlinear and sophisticated nature of superconducting wires/tapes,
magnetic field computation of superconducting magnets by means of finite element methods …

Enhancement mechanism of uniaxial tensile electro-mechanical behaviors in second-generation high-temperature superconducting tapes

C Guo, Y Wu, W Wu, Z Zhang, J Shi, S Chen… - Journal of Alloys and …, 2023 - Elsevier
The second-generation high-temperature superconducting (2 G-HTS) tapes are subjected to
complex stress/strain in practical applications. For the complex operation conditions …