TEM apparent resistivity imaging for grounding grid detection using artificial neural network-Reference-Cited by-同舟云学术

TEM apparent resistivity imaging for grounding grid detection using artificial neural network

Published:2019-08-19 Issue:17 Volume:13 Page:3932-3940
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Qin Shanqiang¹,Wang Yao²,Tai Heng‐Ming³,Wang Haowen¹,Liao Xian¹,Fu Zhihong¹^ORCID

Affiliation:

1. School of Electrical EngineeringChongqing UniversityChongqing400044People's Republic of China

2. Chongqing Triloop Prospecting Technology Co., Ltd.Chongqing402660People's Republic of China

3. Department of Electrical and Computer EngineeringUniversity of TulsaTulsaOK74104USA

Funder

National Natural Science Foundation of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2018.6450

Reference23 articles.

1. Zheng R. He J. Hu J. et al.: ‘The theory and implementation of corrosion diagnosis for grounding system’.Conf. Record of the IEEE Industry Applications Conf. 2002 37th IAS Annual Meeting Pittsburgh PA USA October2002 vol.2 pp.1120–1126

2. A study on high‐voltage substation ground grid integrity measurement;Kostic V.I.;Electr. Power Syst. Res.,2016

3. Hu J. Zeng R. He J.L. et al.: ‘Novel method of corrosion diagnosis for grounding grid’.Int. Conf. Power System Technology 2000 Proc. PowerCon 2000 Perth WA Australia December2000 pp.1365–1370

4. Simulation of substation grounding grids with unequal-potential

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