The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems
A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theo...
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| Veröffentlicht in: | IEEE transactions on instrumentation and measurement 2005-10, Vol.54 (5), p.1968-1977 |
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| Format: | Artikel |
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| container_end_page | 1977 |
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| container_issue | 5 |
| container_start_page | 1968 |
| container_title | IEEE transactions on instrumentation and measurement |
| container_volume | 54 |
| creator | Kaftandjian, V. Yue Min Zhu Dupuis, O. Babot, D. |
| description | A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects corresponding to X-ray and ultrasonic testing are fused at the level of features. The results show that the fusion improves significantly the reliability of defect detection and the defect sizing. |
| doi_str_mv | 10.1109/TIM.2005.854255 |
| format | Article |
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The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects corresponding to X-ray and ultrasonic testing are fused at the level of features. The results show that the fusion improves significantly the reliability of defect detection and the defect sizing.</description><identifier>ISSN: 0018-9456</identifier><identifier>EISSN: 1557-9662</identifier><identifier>DOI: 10.1109/TIM.2005.854255</identifier><identifier>CODEN: IEIMAO</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Data fusion ; Defects ; evidence theory ; Fuzzy logic ; Humans ; Inspection ; Instrumentation ; Laboratories ; Logic testing ; Mathematical models ; Nondestructive testing ; Object detection ; Radiography ; Ultrasonic testing ; weld inspection ; Welding ; X-ray imaging ; X-rays</subject><ispartof>IEEE transactions on instrumentation and measurement, 2005-10, Vol.54 (5), p.1968-1977</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c351t-904b8d64a05f9222d8d63bb8e72ce34b17bdbfabf4842e743ed7eb60ae3cb4973</citedby><cites>FETCH-LOGICAL-c351t-904b8d64a05f9222d8d63bb8e72ce34b17bdbfabf4842e743ed7eb60ae3cb4973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1514651$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1514651$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Kaftandjian, V.</creatorcontrib><creatorcontrib>Yue Min Zhu</creatorcontrib><creatorcontrib>Dupuis, O.</creatorcontrib><creatorcontrib>Babot, D.</creatorcontrib><title>The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems</title><title>IEEE transactions on instrumentation and measurement</title><addtitle>TIM</addtitle><description>A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects corresponding to X-ray and ultrasonic testing are fused at the level of features. The results show that the fusion improves significantly the reliability of defect detection and the defect sizing.</description><subject>Data fusion</subject><subject>Defects</subject><subject>evidence theory</subject><subject>Fuzzy logic</subject><subject>Humans</subject><subject>Inspection</subject><subject>Instrumentation</subject><subject>Laboratories</subject><subject>Logic testing</subject><subject>Mathematical models</subject><subject>Nondestructive testing</subject><subject>Object detection</subject><subject>Radiography</subject><subject>Ultrasonic testing</subject><subject>weld inspection</subject><subject>Welding</subject><subject>X-ray imaging</subject><subject>X-rays</subject><issn>0018-9456</issn><issn>1557-9662</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kTtrHDEUhUVwIGsndYo0IoVTzVpvaUpjnNhg42ZTi5F0x5GZGTnSzML610fDBgwuXN0H37kPDkJfKdlSStqL3e39lhEit0YKJuUHtKFS6qZVip2gDSHUNK2Q6hM6LeWJEKKV0BuUdn8A-zS6OEHASwGcejzXHuxjgMnDWqR8wN0UcL-8vBzwkB6jx33KOI7POe3j9IjHZZjjmEI34ClNAcqcFz_HfZXXfCXKocwwls_oY98NBb78j2fo98_r3dVNc_fw6_bq8q7xXNK5aYlwJijREdm3jLFQC-6cAc08cOGodsH1neuFEQy04BA0OEU64N6JVvMz9OM4t174d6k32DEWD8PQTZCWYk2rqKGt4pU8f5dkhihGlajg9zfgU1ryVL-wRmmutGbr3osj5HMqJUNvn3Mcu3ywlNjVJ1t9sqtP9uhTVXw7KiIAvNKSCiUp_wcUbpCx</recordid><startdate>20051001</startdate><enddate>20051001</enddate><creator>Kaftandjian, V.</creator><creator>Yue Min Zhu</creator><creator>Dupuis, O.</creator><creator>Babot, D.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>7U5</scope><scope>8FD</scope><scope>L7M</scope><scope>7SC</scope><scope>JQ2</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20051001</creationdate><title>The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems</title><author>Kaftandjian, V. ; Yue Min Zhu ; Dupuis, O. ; Babot, D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c351t-904b8d64a05f9222d8d63bb8e72ce34b17bdbfabf4842e743ed7eb60ae3cb4973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Data fusion</topic><topic>Defects</topic><topic>evidence theory</topic><topic>Fuzzy logic</topic><topic>Humans</topic><topic>Inspection</topic><topic>Instrumentation</topic><topic>Laboratories</topic><topic>Logic testing</topic><topic>Mathematical models</topic><topic>Nondestructive testing</topic><topic>Object detection</topic><topic>Radiography</topic><topic>Ultrasonic testing</topic><topic>weld inspection</topic><topic>Welding</topic><topic>X-ray imaging</topic><topic>X-rays</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kaftandjian, V.</creatorcontrib><creatorcontrib>Yue Min Zhu</creatorcontrib><creatorcontrib>Dupuis, O.</creatorcontrib><creatorcontrib>Babot, D.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on instrumentation and measurement</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kaftandjian, V.</au><au>Yue Min Zhu</au><au>Dupuis, O.</au><au>Babot, D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems</atitle><jtitle>IEEE transactions on instrumentation and measurement</jtitle><stitle>TIM</stitle><date>2005-10-01</date><risdate>2005</risdate><volume>54</volume><issue>5</issue><spage>1968</spage><epage>1977</epage><pages>1968-1977</pages><issn>0018-9456</issn><eissn>1557-9662</eissn><coden>IEIMAO</coden><abstract>A data fusion approach for improving weld inspection by multimodal nondestructive testing (NDT) is investigated. The method relies on the combined use of evidence theory and fuzzy logic. In this framework, X-ray and ultrasonic inspection is modeled using fuzzy sets and mass function in evidence theory, and objects corresponding to X-ray and ultrasonic testing are fused at the level of features. The results show that the fusion improves significantly the reliability of defect detection and the defect sizing.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIM.2005.854255</doi><tpages>10</tpages></addata></record> |
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| identifier | ISSN: 0018-9456 |
| ispartof | IEEE transactions on instrumentation and measurement, 2005-10, Vol.54 (5), p.1968-1977 |
| issn | 0018-9456 1557-9662 |
| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Data fusion Defects evidence theory Fuzzy logic Humans Inspection Instrumentation Laboratories Logic testing Mathematical models Nondestructive testing Object detection Radiography Ultrasonic testing weld inspection Welding X-ray imaging X-rays |
| title | The combined use of the evidence theory and fuzzy logic for improving multimodal nondestructive testing systems |
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