An end-quality assessment system for electronically commutated motors based on evidential reasoning
► The paper presents a end-quality assessment module. ► The quality assessment is based on specially designed set of features the reflect the most common faults. ► The features are extracted by specific signal processing methods. ► The module allows incorporation of experts knowledge, thus circumven...
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Veröffentlicht in: | Expert systems with applications 2011-10, Vol.38 (11), p.13816-13826 |
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creator | Boškoski, Pavle Petrovčič, Janko Musizza, Bojan Juričić, Dani |
description | ► The paper presents a end-quality assessment module. ► The quality assessment is based on specially designed set of features the reflect the most common faults. ► The features are extracted by specific signal processing methods. ► The module allows incorporation of experts knowledge, thus circumventing the training process.
Automatic end-quality assessment is a mean that helps reaching zero-fault products at the end of the manufacturing process. In this paper we present a system for assessing the quality of electronically commutated motors. The system consists of two major parts: feature extraction and overall quality assessment. The feature extraction part consists of signal processing algorithms tailored for mechanical fault detection. The quality assessment part, aimed for fault isolation and final quality decision, employs evidential reasoning for multi-attribute decision analysis. A prototype version of the system is validated on a test batch of 130 electronically commutated motors, demonstrating high diagnostic resolution and accuracy. |
doi_str_mv | 10.1016/j.eswa.2011.04.185 |
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Automatic end-quality assessment is a mean that helps reaching zero-fault products at the end of the manufacturing process. In this paper we present a system for assessing the quality of electronically commutated motors. The system consists of two major parts: feature extraction and overall quality assessment. The feature extraction part consists of signal processing algorithms tailored for mechanical fault detection. The quality assessment part, aimed for fault isolation and final quality decision, employs evidential reasoning for multi-attribute decision analysis. A prototype version of the system is validated on a test batch of 130 electronically commutated motors, demonstrating high diagnostic resolution and accuracy.</description><identifier>ISSN: 0957-4174</identifier><identifier>EISSN: 1873-6793</identifier><identifier>DOI: 10.1016/j.eswa.2011.04.185</identifier><language>eng</language><publisher>Elsevier Ltd</publisher><subject>Assessments ; Decision analysis ; Diagnostic systems ; Electrical motors ; End-quality assessment ; Evidential reasoning ; Expert systems ; Feature extraction ; Mechanical faults ; Motors ; Multi-attribute decision analysis ; Quality assessment</subject><ispartof>Expert systems with applications, 2011-10, Vol.38 (11), p.13816-13826</ispartof><rights>2011 Elsevier Ltd</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c316t-68b5b1fe5515dde1eb7d2b0631c3f6dac3df354e72f357af217dfc416f1859c33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.eswa.2011.04.185$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Boškoski, Pavle</creatorcontrib><creatorcontrib>Petrovčič, Janko</creatorcontrib><creatorcontrib>Musizza, Bojan</creatorcontrib><creatorcontrib>Juričić, Dani</creatorcontrib><title>An end-quality assessment system for electronically commutated motors based on evidential reasoning</title><title>Expert systems with applications</title><description>► The paper presents a end-quality assessment module. ► The quality assessment is based on specially designed set of features the reflect the most common faults. ► The features are extracted by specific signal processing methods. ► The module allows incorporation of experts knowledge, thus circumventing the training process.
Automatic end-quality assessment is a mean that helps reaching zero-fault products at the end of the manufacturing process. In this paper we present a system for assessing the quality of electronically commutated motors. The system consists of two major parts: feature extraction and overall quality assessment. The feature extraction part consists of signal processing algorithms tailored for mechanical fault detection. The quality assessment part, aimed for fault isolation and final quality decision, employs evidential reasoning for multi-attribute decision analysis. A prototype version of the system is validated on a test batch of 130 electronically commutated motors, demonstrating high diagnostic resolution and accuracy.</description><subject>Assessments</subject><subject>Decision analysis</subject><subject>Diagnostic systems</subject><subject>Electrical motors</subject><subject>End-quality assessment</subject><subject>Evidential reasoning</subject><subject>Expert systems</subject><subject>Feature extraction</subject><subject>Mechanical faults</subject><subject>Motors</subject><subject>Multi-attribute decision analysis</subject><subject>Quality assessment</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNp9kMFq3DAQhkVpoNskL5CTbu3FrsayrTX0soQ2KQR6ac5ClkZBi23tarRb9u0rsz3nNAz83zD_x9gDiBoE9N_2NdJfUzcCoBZtDdvuA9vAVsmqV4P8yDZi6FTVgmo_sc9EeyFACaE2zO4WjourjiczhXzhhgiJZlwypwtlnLmPieOENqe4BGum6cJtnOdTNhkdn2OOifhoqCyx3DoHV-BgJp7QUEGWtzt2481EeP9_3rLXnz_-PD5XL7-ffj3uXioroc9Vvx27ETx2HXTOIeCoXDOKXoKVvnfGSudl16JqylDGN6Ccty30vtQdrJS37Mv17iHF4wkp6zmQxWkyC8YT6aGUBimGNfn13WSRA0I0HazR5hq1KRIl9PqQwmzSRYPQq3u916t7vbrXotXlmQJ9v0JY6p4DJk024GLRhVRMahfDe_g_qdKPhw</recordid><startdate>20111001</startdate><enddate>20111001</enddate><creator>Boškoski, Pavle</creator><creator>Petrovčič, Janko</creator><creator>Musizza, Bojan</creator><creator>Juričić, Dani</creator><general>Elsevier Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20111001</creationdate><title>An end-quality assessment system for electronically commutated motors based on evidential reasoning</title><author>Boškoski, Pavle ; Petrovčič, Janko ; Musizza, Bojan ; Juričić, Dani</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-68b5b1fe5515dde1eb7d2b0631c3f6dac3df354e72f357af217dfc416f1859c33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Assessments</topic><topic>Decision analysis</topic><topic>Diagnostic systems</topic><topic>Electrical motors</topic><topic>End-quality assessment</topic><topic>Evidential reasoning</topic><topic>Expert systems</topic><topic>Feature extraction</topic><topic>Mechanical faults</topic><topic>Motors</topic><topic>Multi-attribute decision analysis</topic><topic>Quality assessment</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Boškoski, Pavle</creatorcontrib><creatorcontrib>Petrovčič, Janko</creatorcontrib><creatorcontrib>Musizza, Bojan</creatorcontrib><creatorcontrib>Juričić, Dani</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Boškoski, Pavle</au><au>Petrovčič, Janko</au><au>Musizza, Bojan</au><au>Juričić, Dani</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An end-quality assessment system for electronically commutated motors based on evidential reasoning</atitle><jtitle>Expert systems with applications</jtitle><date>2011-10-01</date><risdate>2011</risdate><volume>38</volume><issue>11</issue><spage>13816</spage><epage>13826</epage><pages>13816-13826</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>► The paper presents a end-quality assessment module. ► The quality assessment is based on specially designed set of features the reflect the most common faults. ► The features are extracted by specific signal processing methods. ► The module allows incorporation of experts knowledge, thus circumventing the training process.
Automatic end-quality assessment is a mean that helps reaching zero-fault products at the end of the manufacturing process. In this paper we present a system for assessing the quality of electronically commutated motors. The system consists of two major parts: feature extraction and overall quality assessment. The feature extraction part consists of signal processing algorithms tailored for mechanical fault detection. The quality assessment part, aimed for fault isolation and final quality decision, employs evidential reasoning for multi-attribute decision analysis. A prototype version of the system is validated on a test batch of 130 electronically commutated motors, demonstrating high diagnostic resolution and accuracy.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2011.04.185</doi><tpages>11</tpages></addata></record> |
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subjects | Assessments Decision analysis Diagnostic systems Electrical motors End-quality assessment Evidential reasoning Expert systems Feature extraction Mechanical faults Motors Multi-attribute decision analysis Quality assessment |
title | An end-quality assessment system for electronically commutated motors based on evidential reasoning |
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