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Methodology of Detection for Power Cable Insulation Defects Based on DC Voltage Withstand Test Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Development of High-Voltage Discharge Fault Detection System

Authors : Bohao Tao, Lixin Ma, Liping Zhang, Yang Bai, Bo Hu

Published in: Unifying Electrical Engineering and Electronics Engineering

Publisher: Springer New York

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Abstract

A high-voltage discharge fault detection system was developed based on ultraviolet (UV) image processing technology. By making use of image processing theory, the interference of noises in ultraviolet images was effectively eliminated. In addition, a fault state recognition method was established and tested for the high-voltage discharge fault detection with the data from the developed system. And an approach based on RBF artificial neural network theory is proposed. According to the results simulated by MATLAB program, the developed system as well as the fault state recognition method could identify device faults and operation conditions accurately,and also they match well. Therefore, the developed high-voltage discharge fault detection system using UV image processing technology has potential for practical use.

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previous chapter Flexible Power Flow Algorithm of AC–DC Power System
next chapter Swing Blocking Criterion Based on Voltage Frequency Characteristics
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Metadata
Title
Development of High-Voltage Discharge Fault Detection System
Authors
Bohao Tao
Lixin Ma
Liping Zhang
Yang Bai
Bo Hu
Copyright Year
2014
Publisher
Springer New York
Book
Unifying Electrical Engineering and Electronics Engineering

Print ISBN: 978-1-4614-4980-5

Electronic ISBN: 978-1-4614-4981-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-1-4614-4981-2_49