Development of Equipment and Application of Machine Learning Techniques Using Frequency Response Data for Cap Damage Detection of Porcelain Insulators

Development of Equipment and Application of Machine Learning Techniques Using Frequency Response Data for Cap Damage Detection of Porcelain Insulators

The most common method for inspection of insulators is to measure the change of electrical characteristics such as electric resistance and partial discharge. However, even if there is no physical damage, these values vary depending on the temperature, humidity, and chloride content of the atmosphere...

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Bibliographic Details
Main Authors: In Hyuk Choi, Ja Bin Koo, Ju Am Son, Jun Sin Yi, Young Geun Yoon, Tae Keun Oh
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
frequency response function
porcelain insulator
cap
auto impact hammer
MEMS
non-destructive method
Online Access:https://www.mdpi.com/2076-3417/10/8/2820

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