Prediction of Nonsinusoidal AC Loss of Superconducting Tapes Using Artificial Intelligence-Based Models

Mohammad Yazdani-Asrami, Mehran Taghipour-Gorjikolaie, Wenjuan Song, Min Zhang, Weijia Yuan

Research output: Contribution to journal › Article › peer-review

52 Citations (SciVal)

Access to Document

@article{ead201515420447bba835c8fbe374485,

title = "Prediction of Nonsinusoidal AC Loss of Superconducting Tapes Using Artificial Intelligence-Based Models",

author = "Mohammad Yazdani-Asrami and Mehran Taghipour-Gorjikolaie and Wenjuan Song and Min Zhang and Weijia Yuan",

year = "2020",

month = nov,

day = "27",

doi = "10.1109/ACCESS.2020.3037685",

language = "English",

volume = "8",

pages = "207287 -- 207297",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "IEEE",

}

TY - JOUR

T1 - Prediction of Nonsinusoidal AC Loss of Superconducting Tapes Using Artificial Intelligence-Based Models

AU - Yazdani-Asrami, Mohammad

AU - Taghipour-Gorjikolaie, Mehran

AU - Song, Wenjuan

AU - Zhang, Min

AU - Yuan, Weijia

PY - 2020/11/27

Y1 - 2020/11/27

UR - https://www.scopus.com/pages/publications/85097393615

U2 - 10.1109/ACCESS.2020.3037685

DO - 10.1109/ACCESS.2020.3037685

M3 - Article

SN - 2169-3536

VL - 8

SP - 207287

EP - 207297

JO - IEEE Access

JF - IEEE Access

M1 - 9257413

ER -