2006 Canadian Conference on Electrical and Computer Engineering 2006
DOI: 10.1109/ccece.2006.277594
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A New Approach to Ungrounded Fault Location in a Three-Phase Underground Distribution System using Combined Neural Networks & Wavelet Analysis

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Cited by 25 publications
(21 citation statements)
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“…A.2.4.3.7 A new approach to ungrounded fault location in a three-phase underground distribution system using combined neural networks and wavelet analysis [44] Summary: This paper presents a new offline method for locating ungrounded shunt faults in a practical underground cable distribution system using an advanced signal processing technique based on wavelet analysis to extract useful information from signals. This information is then applied to the ANN's.…”
Section: Issuesmentioning
confidence: 99%
“…A.2.4.3.7 A new approach to ungrounded fault location in a three-phase underground distribution system using combined neural networks and wavelet analysis [44] Summary: This paper presents a new offline method for locating ungrounded shunt faults in a practical underground cable distribution system using an advanced signal processing technique based on wavelet analysis to extract useful information from signals. This information is then applied to the ANN's.…”
Section: Issuesmentioning
confidence: 99%
“…During the course of recent years, the development of the fault diagnosis has been progressed with the applications of signal processing techniques and results in transient based techniques. It has been found that the wavelet transform is capable of investigating the transient signals generated in power system [1].…”
Section: Introductionmentioning
confidence: 99%
“…In [4,5], the fundamental frequency components of voltage and * Correspondence: mosba86@yahoo.com.my current were employed. A combination of ANN and support vector machine (SVM) was proposed in [5], whereas in [6,7], the high frequency components were extracted from the faulted waveform to facilitate fault location.…”
Section: Introductionmentioning
confidence: 99%
“…Intelligent techniques are among the most popular approaches. In [4][5][6][7], an artificial neural network (ANN) was used for fault localization in the distribution network. In [4,5], the fundamental frequency components of voltage and * Correspondence: mosba86@yahoo.com.my current were employed.…”
Section: Introductionmentioning
confidence: 99%
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