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<ArticleSet>
<Article>
<Journal>
				<PublisherName>Isfahan University of Technology</PublisherName>
				<JournalTitle>Journal of Computational Methods in Engineering</JournalTitle>
				<Issn>2228-7698</Issn>
				<Volume>23</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform</ArticleTitle>
<VernacularTitle>Fault Detection of Plain Circular Knitted Fabrics Using Wavelet Transform</VernacularTitle>
			<FirstPage>221</FirstPage>
			<LastPage>227</LastPage>
			<ELocationID EIdType="pii">2868</ELocationID>
			
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName></FirstName>
					<LastName>M. Latifi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName></FirstName>
					<LastName>M. Amani</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName></FirstName>
					<LastName>S. M. Etrati And A. H. Sadri</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2022</Year>
					<Month>12</Month>
					<Day>31</Day>
				</PubDate>
			</History>
		<Abstract>Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining fault position and dimensions. Therefore, the Wavelet transform method is suitable for online fault detection</Abstract>
			<OtherAbstract Language="FA">Quality control of textile products is an important stage in textile industries. To this end, the conventional method in fault detection is human inspection. In the present work, Wavelet transform was applied on images of simple circular knitted fabrics to diagnose five regular defects. The results showed that the method applied was accurate and fast in addition to being capable of determining fault position and dimensions. Therefore, the Wavelet transform method is suitable for online fault detection</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Fault detection</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Circular Fabrics</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Wavelet transform</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jcme.iut.ac.ir/article_2868_8b3bac12926cc1d9fb5d68783376971d.pdf</ArchiveCopySource>
</Article>
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