{"id":"https://openalex.org/W3044502017","doi":"https://doi.org/10.1109/tim.2020.3011762","title":"Automatic Detection of Industrial Wire Rope Surface Damage Using Deep Learning-Based Visual Perception Technology","display_name":"Automatic Detection of Industrial Wire Rope Surface Damage Using Deep Learning-Based Visual Perception Technology","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3044502017","doi":"https://doi.org/10.1109/tim.2020.3011762","mag":"3044502017"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3011762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3011762","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010979147","display_name":"Ping Zhou","orcid":"https://orcid.org/0000-0002-7934-1021"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Zhou","raw_affiliation_strings":["Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072388859","display_name":"Gongbo Zhou","orcid":"https://orcid.org/0000-0001-9759-1895"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gongbo Zhou","raw_affiliation_strings":["Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082826235","display_name":"Houlian Wang","orcid":"https://orcid.org/0000-0002-7657-9747"},"institutions":[{"id":"https://openalex.org/I4210096899","display_name":"Jiangsu University of Science and Technology","ror":"https://ror.org/00tyjp878","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210096899"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Houlian Wang","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Jiangsu University of Science and Technology, Zhenjiang, China","institution_ids":["https://openalex.org/I4210096899"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100433001","display_name":"Dongxu Wang","orcid":"https://orcid.org/0000-0002-4427-4412"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Wang","raw_affiliation_strings":["Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechatronic Engineering, China University of Mining and Technology, Xuzhou, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001930376","display_name":"Zhenzhi He","orcid":"https://orcid.org/0000-0003-2070-2790"},"institutions":[{"id":"https://openalex.org/I118574674","display_name":"Jiangsu Normal University","ror":"https://ror.org/051hvcm98","country_code":"CN","type":"education","lineage":["https://openalex.org/I118574674"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenzhi He","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Jiangsu Normal University, Xuzhou, China","institution_ids":["https://openalex.org/I118574674"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010979147"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":3.9229,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.94020041,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9923999905586243,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9593999981880188,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7640177011489868},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7320483922958374},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7235170602798462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069895029067993},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5814028978347778},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5657734870910645},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.541792631149292},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.48104026913642883},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4699419140815735},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.46016523241996765},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43068158626556396},{"id":"https://openalex.org/keywords/wire-rope","display_name":"Wire rope","score":0.4180991053581238},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40661412477493286},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2937172055244446}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7640177011489868},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7320483922958374},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7235170602798462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069895029067993},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5814028978347778},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5657734870910645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.541792631149292},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.48104026913642883},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4699419140815735},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.46016523241996765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43068158626556396},{"id":"https://openalex.org/C2781373598","wikidata":"https://www.wikidata.org/wiki/Q552034","display_name":"Wire rope","level":2,"score":0.4180991053581238},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40661412477493286},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2937172055244446},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3011762","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3011762","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.44999998807907104}],"awards":[{"id":"https://openalex.org/G5838182145","display_name":null,"funder_award_id":"2016YFC0600905","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335440","display_name":"Natural Science Research of Jiangsu Higher Education Institutions of China","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1480498363","https://openalex.org/W2045152659","https://openalex.org/W2051612066","https://openalex.org/W2062326173","https://openalex.org/W2098054201","https://openalex.org/W2113278950","https://openalex.org/W2120082031","https://openalex.org/W2155879733","https://openalex.org/W2236636307","https://openalex.org/W2258038090","https://openalex.org/W2343086726","https://openalex.org/W2404692435","https://openalex.org/W2552392885","https://openalex.org/W2590288147","https://openalex.org/W2595209304","https://openalex.org/W2761216034","https://openalex.org/W2765854388","https://openalex.org/W2768753204","https://openalex.org/W2770551511","https://openalex.org/W2772386856","https://openalex.org/W2775465287","https://openalex.org/W2777206593","https://openalex.org/W2790914279","https://openalex.org/W2791643376","https://openalex.org/W2801934172","https://openalex.org/W2808496542","https://openalex.org/W2810292802","https://openalex.org/W2883194860","https://openalex.org/W2896628614","https://openalex.org/W2899252373","https://openalex.org/W2902497325","https://openalex.org/W2902790703","https://openalex.org/W2919115771","https://openalex.org/W2920311927","https://openalex.org/W2950119225","https://openalex.org/W2966341653","https://openalex.org/W2969651160","https://openalex.org/W2991620669","https://openalex.org/W2998291476","https://openalex.org/W2998506103","https://openalex.org/W3048978826"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W165915117","https://openalex.org/W2326995835","https://openalex.org/W2743859443","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2095030957","https://openalex.org/W2066827917","https://openalex.org/W2884201223"],"abstract_inverted_index":{"Surface":[0],"wear,":[1],"which":[2,82,141,167],"is":[3,15,102,131,168],"most":[4],"likely":[5],"to":[6,19,104,113,133],"occur":[7],"in":[8,181],"early":[9],"damage":[10,31,41],"of":[11,33,38,108,121,159],"wire":[12],"ropes":[13],"(WRs),":[14],"a":[16,51,77,91,174],"serious":[17],"threat":[18],"WR":[20,39,138,160],"safety.":[21],"Visual":[22],"perception":[23],"technology":[24],"(VPT)":[25],"can":[26,153],"intuitively":[27],"grasp":[28],"the":[29,71,106,109,135,150,156,178],"surface":[30,40],"situation":[32],"WRs.":[34],"However,":[35],"efficient":[36],"detection":[37,67,165],"from":[42],"complex":[43],"morphological":[44],"characteristics":[45],"using":[46],"VPT":[47,80],"has":[48],"always":[49],"been":[50],"challenging":[52],"task,":[53],"and":[54,65,90,112,119,162,173],"there":[55],"are":[56],"various":[57],"problems,":[58],"such":[59],"as":[60],"nonstandard":[61],"data,":[62,115],"low":[63],"automation/intelligence,":[64],"poor":[66],"effect.":[68],"To":[69],"overcome":[70],"above":[72],"difficulties,":[73],"this":[74,182],"study":[75],"proposes":[76],"deep":[78,92],"learning-based":[79],"framework,":[81],"relies":[83],"on":[84,129,177],"an":[85],"image":[86,110],"preprocessing":[87],"(IP)":[88],"scheme":[89,101],"convolutional":[93],"neural":[94],"network":[95],"(DCNN),":[96],"called":[97],"WR-IPDCNN.":[98],"The":[99,125],"IP":[100],"designed":[103],"remove":[105],"influence":[107],"background":[111],"normalize":[114],"including":[116],"posture":[117],"adjustment":[118],"region":[120],"interest":[122],"(ROI)":[123],"extraction.":[124],"improved":[126],"DCNN":[127],"based":[128],"LeNet-5":[130],"proposed":[132,151],"mine":[134],"newly":[136],"established":[137],"data":[139],"set,":[140],"considers":[142],"different":[143],"working":[144],"conditions.":[145],"Experimental":[146],"results":[147],"demonstrate":[148],"that":[149],"framework":[152],"accurately":[154],"extract":[155],"ROI":[157],"area":[158],"images":[161],"achieve":[163],"95.55%":[164],"accuracy,":[166],"12.44%":[169],"higher":[170],"than":[171],"LeNet-5,":[172],"significant":[175],"improvement":[176],"automation/intelligence":[179],"level":[180],"field.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":7}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
