<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
		<Article>
		<Journal>
			<PublisherName>Majlesi Journal of Electrical Engineering</PublisherName>
			<JournalTitle>Classification of Inrush Current, Load Switching, Capacitor Switching and Short Circuit Faults by Using Wavelet</JournalTitle>
			<Issn></Issn>
			<Volume>Volume 1 (2007)</Volume>
			<Issue>Issue 2, September 2007</Issue>
			<PubDate PubStatus="epublish">
                <Year>2024</Year>
                <Month>02</Month>
                <Day>28</Day>
			</PubDate>
		</Journal>
		<ArticleTitle>Classification of Inrush Current, Load Switching, Capacitor Switching and Short Circuit Faults by Using Wavelet</ArticleTitle>
		<VernacularTitle></VernacularTitle>
		<FirstPage></FirstPage>
		<LastPage></LastPage>
		<ELocationID EIdType="doi">10.1234/mjee.v1i2.26</ELocationID>
		<Language>EN</Language>
		<AuthorList>
            		</AuthorList>
		<PublicationType>Journal Article</PublicationType>
		<History>
			<PubDate PubStatus="received">
				<Year>2024</Year>
				<Month>02</Month>
				<Day>28</Day>
			</PubDate>
		</History>
		<Abstract>In this paper trensients data wave obtained by simulation of a real 20kv distribution feeder using EMTP. Wavelet transform is used for the decomposition of signals. Feature extraction and principal analysis (PCA) are applied for feature vector reduction, and Bayes classifier is used for classification of data. Wavelet coefficients are used for the classification of transients. Results show that the proposed method is efficient for detection of transients.</Abstract>
		<ObjectList>
            			<Object Type="keyword">
				<Param Name="value">Wavelet Transform</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Transients of Distribution Network</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">Bayes Classifier</Param>
			</Object>
						<Object Type="keyword">
				<Param Name="value">PCA.</Param>
			</Object>
					</ObjectList>
	</Article>
	</ArticleSet>
