A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing
Periodical inspection of railway track components plays an important role in railway management system. Mistakes and limitations involved in human visual inspection and lack of data acquisition, evaluation, and registration for track components’ condition necessitate applying new technologies with h...
Gespeichert in:
| Veröffentlicht in: | Archives of computational methods in engineering 2020-07, Vol.27 (3), p.691-709 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 709 |
|---|---|
| container_issue | 3 |
| container_start_page | 691 |
| container_title | Archives of computational methods in engineering |
| container_volume | 27 |
| creator | Taheri, Nasser Nejad, Fereidoon Moghadas Zakeri, H. |
| description | Periodical inspection of railway track components plays an important role in railway management system. Mistakes and limitations involved in human visual inspection and lack of data acquisition, evaluation, and registration for track components’ condition necessitate applying new technologies with higher speed and precision. After a brief overview of automatic evaluation of rail components, a new knowledge-based system for evaluation of railway fastening using an automatic image system is proposed. For this purpose, imaging data were first collected. Next, using an expert system, the location of the fastening system was detected and then two indices were presented; one for evaluation of single bolts, and the other one for fastening system assessment. Experimental results show the efficiency of the proposed system in automatic judgment for railway direct fastening. This system was also proved to work quickly and successfully in the automatic evaluation of railways. |
| doi_str_mv | 10.1007/s11831-019-09325-z |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2407346725</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2185980581</sourcerecordid><originalsourceid>FETCH-LOGICAL-c347t-8b0aca986df4fe30fa61017ef50dd59329689d7e17bccd22daf010486fff7d13</originalsourceid><addsrcrecordid>eNp9UctOwzAQjBBIlMIPcLLEObCOk9g59gkVFUVQzpYb25GrNCl22qr9ehyCxK2nWc3OzGo1QXCP4RED0CeHMSM4BJyFkJEoCU8XQQ8zloaYsvjSz5jEIYEUroMb59YASZxlUS9wAzS0Rmm02Cu7N-qARCXRm8fXqj6UShYKDYVTEn0eXaM2SNcWfQhTorGxKm_QVHi6MlWBJntR7kRj6gp9uZYYm8I0okSzjfAp77bOlWsXt8GVFqVTd3_YD5bTyXL0Es4Xz7PRYB7mJKZNyFYgcpGxVOpYKwJapBgwVToBKRP_ZZayTFKF6SrPZRRJoQFDzFKtNZWY9IOHLnZr6--dcg1f1ztb-Ys8ioGSOKVRclaFWZIxSFibFXWq3NbOWaX51pqNsEeOgbcN8K4B7hvgvw3wkzeRzuS8uCqU_Y8-4_oB8Q6Jjg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2185980581</pqid></control><display><type>article</type><title>A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing</title><source>Springer Nature - Complete Springer Journals</source><creator>Taheri, Nasser ; Nejad, Fereidoon Moghadas ; Zakeri, H.</creator><creatorcontrib>Taheri, Nasser ; Nejad, Fereidoon Moghadas ; Zakeri, H.</creatorcontrib><description>Periodical inspection of railway track components plays an important role in railway management system. Mistakes and limitations involved in human visual inspection and lack of data acquisition, evaluation, and registration for track components’ condition necessitate applying new technologies with higher speed and precision. After a brief overview of automatic evaluation of rail components, a new knowledge-based system for evaluation of railway fastening using an automatic image system is proposed. For this purpose, imaging data were first collected. Next, using an expert system, the location of the fastening system was detected and then two indices were presented; one for evaluation of single bolts, and the other one for fastening system assessment. Experimental results show the efficiency of the proposed system in automatic judgment for railway direct fastening. This system was also proved to work quickly and successfully in the automatic evaluation of railways.</description><identifier>ISSN: 1134-3060</identifier><identifier>EISSN: 1886-1784</identifier><identifier>DOI: 10.1007/s11831-019-09325-z</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Digital imaging ; Engineering ; Evaluation ; Expert systems ; Image processing ; Inspection ; Knowledge based systems ; Knowledge bases (artificial intelligence) ; Mathematical and Computational Engineering ; Mechanical components ; New technology ; Original Paper ; Railway engineering ; Railway tracks</subject><ispartof>Archives of computational methods in engineering, 2020-07, Vol.27 (3), p.691-709</ispartof><rights>CIMNE, Barcelona, Spain 2019</rights><rights>Archives of Computational Methods in Engineering is a copyright of Springer, (2019). All Rights Reserved.</rights><rights>CIMNE, Barcelona, Spain 2019.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c347t-8b0aca986df4fe30fa61017ef50dd59329689d7e17bccd22daf010486fff7d13</citedby><cites>FETCH-LOGICAL-c347t-8b0aca986df4fe30fa61017ef50dd59329689d7e17bccd22daf010486fff7d13</cites><orcidid>0000-0002-9521-6853</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11831-019-09325-z$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11831-019-09325-z$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27903,27904,41467,42536,51298</link.rule.ids></links><search><creatorcontrib>Taheri, Nasser</creatorcontrib><creatorcontrib>Nejad, Fereidoon Moghadas</creatorcontrib><creatorcontrib>Zakeri, H.</creatorcontrib><title>A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing</title><title>Archives of computational methods in engineering</title><addtitle>Arch Computat Methods Eng</addtitle><description>Periodical inspection of railway track components plays an important role in railway management system. Mistakes and limitations involved in human visual inspection and lack of data acquisition, evaluation, and registration for track components’ condition necessitate applying new technologies with higher speed and precision. After a brief overview of automatic evaluation of rail components, a new knowledge-based system for evaluation of railway fastening using an automatic image system is proposed. For this purpose, imaging data were first collected. Next, using an expert system, the location of the fastening system was detected and then two indices were presented; one for evaluation of single bolts, and the other one for fastening system assessment. Experimental results show the efficiency of the proposed system in automatic judgment for railway direct fastening. This system was also proved to work quickly and successfully in the automatic evaluation of railways.</description><subject>Digital imaging</subject><subject>Engineering</subject><subject>Evaluation</subject><subject>Expert systems</subject><subject>Image processing</subject><subject>Inspection</subject><subject>Knowledge based systems</subject><subject>Knowledge bases (artificial intelligence)</subject><subject>Mathematical and Computational Engineering</subject><subject>Mechanical components</subject><subject>New technology</subject><subject>Original Paper</subject><subject>Railway engineering</subject><subject>Railway tracks</subject><issn>1134-3060</issn><issn>1886-1784</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9UctOwzAQjBBIlMIPcLLEObCOk9g59gkVFUVQzpYb25GrNCl22qr9ehyCxK2nWc3OzGo1QXCP4RED0CeHMSM4BJyFkJEoCU8XQQ8zloaYsvjSz5jEIYEUroMb59YASZxlUS9wAzS0Rmm02Cu7N-qARCXRm8fXqj6UShYKDYVTEn0eXaM2SNcWfQhTorGxKm_QVHi6MlWBJntR7kRj6gp9uZYYm8I0okSzjfAp77bOlWsXt8GVFqVTd3_YD5bTyXL0Es4Xz7PRYB7mJKZNyFYgcpGxVOpYKwJapBgwVToBKRP_ZZayTFKF6SrPZRRJoQFDzFKtNZWY9IOHLnZr6--dcg1f1ztb-Ys8ioGSOKVRclaFWZIxSFibFXWq3NbOWaX51pqNsEeOgbcN8K4B7hvgvw3wkzeRzuS8uCqU_Y8-4_oB8Q6Jjg</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Taheri, Nasser</creator><creator>Nejad, Fereidoon Moghadas</creator><creator>Zakeri, H.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope><orcidid>https://orcid.org/0000-0002-9521-6853</orcidid></search><sort><creationdate>20200701</creationdate><title>A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing</title><author>Taheri, Nasser ; Nejad, Fereidoon Moghadas ; Zakeri, H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c347t-8b0aca986df4fe30fa61017ef50dd59329689d7e17bccd22daf010486fff7d13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Digital imaging</topic><topic>Engineering</topic><topic>Evaluation</topic><topic>Expert systems</topic><topic>Image processing</topic><topic>Inspection</topic><topic>Knowledge based systems</topic><topic>Knowledge bases (artificial intelligence)</topic><topic>Mathematical and Computational Engineering</topic><topic>Mechanical components</topic><topic>New technology</topic><topic>Original Paper</topic><topic>Railway engineering</topic><topic>Railway tracks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Taheri, Nasser</creatorcontrib><creatorcontrib>Nejad, Fereidoon Moghadas</creatorcontrib><creatorcontrib>Zakeri, H.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Archives of computational methods in engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Taheri, Nasser</au><au>Nejad, Fereidoon Moghadas</au><au>Zakeri, H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing</atitle><jtitle>Archives of computational methods in engineering</jtitle><stitle>Arch Computat Methods Eng</stitle><date>2020-07-01</date><risdate>2020</risdate><volume>27</volume><issue>3</issue><spage>691</spage><epage>709</epage><pages>691-709</pages><issn>1134-3060</issn><eissn>1886-1784</eissn><abstract>Periodical inspection of railway track components plays an important role in railway management system. Mistakes and limitations involved in human visual inspection and lack of data acquisition, evaluation, and registration for track components’ condition necessitate applying new technologies with higher speed and precision. After a brief overview of automatic evaluation of rail components, a new knowledge-based system for evaluation of railway fastening using an automatic image system is proposed. For this purpose, imaging data were first collected. Next, using an expert system, the location of the fastening system was detected and then two indices were presented; one for evaluation of single bolts, and the other one for fastening system assessment. Experimental results show the efficiency of the proposed system in automatic judgment for railway direct fastening. This system was also proved to work quickly and successfully in the automatic evaluation of railways.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11831-019-09325-z</doi><tpages>19</tpages><orcidid>https://orcid.org/0000-0002-9521-6853</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1134-3060 |
| ispartof | Archives of computational methods in engineering, 2020-07, Vol.27 (3), p.691-709 |
| issn | 1134-3060 1886-1784 |
| language | eng |
| recordid | cdi_proquest_journals_2407346725 |
| source | Springer Nature - Complete Springer Journals |
| subjects | Digital imaging Engineering Evaluation Expert systems Image processing Inspection Knowledge based systems Knowledge bases (artificial intelligence) Mathematical and Computational Engineering Mechanical components New technology Original Paper Railway engineering Railway tracks |
| title | A Brief Overview and New Knowledge Based System for Rail Direct Fastening Evaluation Using Digital Image Processing |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-21T20%3A03%3A28IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Brief%20Overview%20and%20New%20Knowledge%20Based%20System%20for%20Rail%20Direct%20Fastening%20Evaluation%20Using%20Digital%20Image%20Processing&rft.jtitle=Archives%20of%20computational%20methods%20in%20engineering&rft.au=Taheri,%20Nasser&rft.date=2020-07-01&rft.volume=27&rft.issue=3&rft.spage=691&rft.epage=709&rft.pages=691-709&rft.issn=1134-3060&rft.eissn=1886-1784&rft_id=info:doi/10.1007/s11831-019-09325-z&rft_dat=%3Cproquest_cross%3E2185980581%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2185980581&rft_id=info:pmid/&rfr_iscdi=true |