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

Content Provider	IET Digital Library
Author	Qin, Shanqiang Wang, Yao Tai, Heng Ming Wang, Haowen Liao, Xian Fu, Zhihong
Abstract	Transient electromagnetic (TEM) method is a reliable means of non-destructive testing for fault diagnosis of grounding grid in substation. In view of the small transmitter loop of the TEM system and many measuring points and survey lines of grounding grid detection in substation. This study presents a fast solution to TEM apparent resistivity imaging for grounding grid detection using artificial neural networks. The input -output mapping relation of neural network is established based on TEM response characteristics of the grounding grid. The built network could map the recorded TEM data of grounding grid detection and quickly obtain the resistivity image. The proposed method offers accuracy and fast computation for the resistivity imaging of grounding grid. Feasibility and technical attractiveness of the proposed method in fast imaging of apparent resistivity is investigated with the measurement of grounding grids in the actual substations. It can be used in real time so that the recorded TEM data in substation can be calculated without re-training, which avoids time-consuming inversion computation. The rapid processing of massive data and submitting the detection results of the grounding grid to customers rapidly and in real time, which is expectation for a modern power industry.
Starting Page	3932
Ending Page	3940
Page Count	9
ISSN	17518687
Volume Number	13
e-ISSN	17518695
Issue Number	Issue 17, Sep (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/13/17
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2018.6450
Journal	IET Generation, Transmission & Distribution
Publisher Date	2019-07-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Apparent Resistivity Image Artificial Neural Network Earthing Fault Diagnosis Grounding Grid Detection Neural Computing Technique Neural Nets Nondestructive Testing Optical, Image And Video Signal Processing Recorded TEM Data Substation Substations TEM Apparent Resistivity Imaging TEM Imaging Method TEM Response Characteristic TEM System Transient Electromagnetic Method
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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