{"id":"https://openalex.org/W4321016546","doi":"https://doi.org/10.1109/tim.2023.3244211","title":"A Crack Detection Method for Pipelines Using Wavelet-Based Decision-Level Data Fusion","display_name":"A Crack Detection Method for Pipelines Using Wavelet-Based Decision-Level Data Fusion","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4321016546","doi":"https://doi.org/10.1109/tim.2023.3244211"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3244211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3244211","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/A5034002801","display_name":"Yizhao Wang","orcid":"https://orcid.org/0000-0002-0478-774X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yizhao Wang","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0478-774X","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100607717","display_name":"Jingbo Guo","orcid":"https://orcid.org/0000-0002-1686-8360"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jingbo Guo","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1686-8360","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035066057","display_name":"Qihang Shi","orcid":"https://orcid.org/0000-0003-2662-7808"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qihang Shi","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-2662-7808","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089742467","display_name":"Tiehua Hu","orcid":"https://orcid.org/0000-0002-5972-8720"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tiehua Hu","raw_affiliation_strings":["Department of Electrical Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-5972-8720","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.8493,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65033293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"21"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9983000159263611,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7345685958862305},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5765314698219299},{"id":"https://openalex.org/keywords/nondestructive-testing","display_name":"Nondestructive testing","score":0.5611124038696289},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.527556836605072},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5134826302528381},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5069223046302795},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.5030118823051453},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4911482036113739},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.46965280175209045},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4359193444252014},{"id":"https://openalex.org/keywords/detection-theory","display_name":"Detection theory","score":0.425913006067276},{"id":"https://openalex.org/keywords/signal-processing","display_name":"Signal processing","score":0.4190787971019745},{"id":"https://openalex.org/keywords/signal-to-noise-ratio","display_name":"Signal-to-noise ratio (imaging)","score":0.41786712408065796},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35861077904701233},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.29040709137916565},{"id":"https://openalex.org/keywords/radar","display_name":"Radar","score":0.09802782535552979},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.07937508821487427}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7345685958862305},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5765314698219299},{"id":"https://openalex.org/C56529433","wikidata":"https://www.wikidata.org/wiki/Q626700","display_name":"Nondestructive testing","level":2,"score":0.5611124038696289},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.527556836605072},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5134826302528381},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5069223046302795},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.5030118823051453},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4911482036113739},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.46965280175209045},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4359193444252014},{"id":"https://openalex.org/C137270730","wikidata":"https://www.wikidata.org/wiki/Q120811","display_name":"Detection theory","level":3,"score":0.425913006067276},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.4190787971019745},{"id":"https://openalex.org/C13944312","wikidata":"https://www.wikidata.org/wiki/Q7512748","display_name":"Signal-to-noise ratio (imaging)","level":2,"score":0.41786712408065796},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35861077904701233},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.29040709137916565},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.09802782535552979},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.07937508821487427},{"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/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3244211","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3244211","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/16","display_name":"Peace, Justice and strong institutions","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G203824869","display_name":null,"funder_award_id":"2016 YFC0802100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"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":34,"referenced_works":["https://openalex.org/W1542938076","https://openalex.org/W1889820893","https://openalex.org/W2000421548","https://openalex.org/W2017653790","https://openalex.org/W2030454138","https://openalex.org/W2054111221","https://openalex.org/W2066458314","https://openalex.org/W2091567885","https://openalex.org/W2115881729","https://openalex.org/W2148298011","https://openalex.org/W2233437058","https://openalex.org/W2286365529","https://openalex.org/W2527703646","https://openalex.org/W2589171657","https://openalex.org/W2808828736","https://openalex.org/W2810370967","https://openalex.org/W2912920723","https://openalex.org/W2947354205","https://openalex.org/W2968317349","https://openalex.org/W2988485941","https://openalex.org/W3008372443","https://openalex.org/W3011350210","https://openalex.org/W3035847183","https://openalex.org/W3036847688","https://openalex.org/W3038471904","https://openalex.org/W3118378226","https://openalex.org/W3127351938","https://openalex.org/W3132084762","https://openalex.org/W3172988181","https://openalex.org/W3201753566","https://openalex.org/W4210714939","https://openalex.org/W4285127201","https://openalex.org/W4285300449","https://openalex.org/W4301347335"],"related_works":["https://openalex.org/W2387156362","https://openalex.org/W2074073404","https://openalex.org/W2036807298","https://openalex.org/W1990370133","https://openalex.org/W4285814784","https://openalex.org/W1965055812","https://openalex.org/W1966535600","https://openalex.org/W2093613770","https://openalex.org/W2072903707","https://openalex.org/W4290996275"],"abstract_inverted_index":{"A":[0],"novel":[1],"crack":[2,24,33],"detection":[3,62,80,151,157,182,188],"method":[4,81,122,146,178],"using":[5,27],"wavelet-based":[6,71],"decision-level":[7,72],"data":[8,73],"fusion":[9,74],"is":[10],"proposed":[11,108,121,145,177],"and":[12,16,40,126,137,154],"verified":[13,167],"by":[14],"simulations":[15,114],"experiments.":[17],"In":[18],"this":[19,66],"work,":[20],"we":[21,68],"established":[22],"a":[23,56,79,131],"signal":[25,34],"model":[26],"wavelet":[28,83],"functions":[29],"that":[30,42,119,143,175,185],"fits":[31],"all":[32],"scales":[35],"without":[36],"need":[37],"of":[38,86,113,140,186],"windowing,":[39],"showed":[41,142],"the":[43,49,60,107,110,120,124,135,144,164,176,181],"signal-to-noise":[44],"ratio":[45],"(SNR)":[46],"difference":[47],"between":[48],"independent":[50],"signals":[51],"to":[52,100,117],"be":[53],"fused":[54],"has":[55,155],"significant":[57],"effect":[58],"on":[59,65,97,168],"overall":[61],"performance.":[63],"Based":[64],"observation,":[67],"designed":[69],"four":[70],"rules.":[75],"We":[76],"then":[77],"presented":[78],"where":[82],"processing":[84],"results":[85],"individual":[87,150,187],"nondestructive":[88],"testing":[89],"(NDT)":[90],"input":[91],"are":[92],"accepted":[93],"or":[94],"rejected":[95],"based":[96],"said":[98],"rules":[99],"produce":[101],"optimized":[102],"estimation":[103,133],"accuracy.":[104],"To":[105],"evaluate":[106],"method,":[109],"first":[111],"group":[112],"was":[115],"implemented":[116],"show":[118],"identifies":[123],"inner":[125],"outer":[127],"surface":[128],"cracks":[129],"with":[130],"good":[132],"accuracy;":[134],"second":[136],"third":[138],"groups":[139],"experiments":[141,166],"does":[147,179],"improve":[148,180],"upon":[149],"methods":[152],"alone":[153],"better":[156],"performance":[158],"than":[159],"three":[160],"state-of-the-art":[161],"methods;":[162],"finally,":[163],"pull-rig":[165],"our":[169],"own":[170],"pipeline":[171,194],"inspection":[172,196],"gauge":[173],"(PIG)":[174],"probability":[183],"beyond":[184],"methods,":[189],"in":[190],"an":[191],"actual":[192],"high-speed":[193],"inline":[195],"(ILI).":[197]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
