{"id":"https://openalex.org/W4401976965","doi":"https://doi.org/10.3390/s24165374","title":"A Multi-Strategy Hybrid Sparse Reconstruction Method Based on Spatial\u2013Temporal Sparse Wave Number Analysis for Enhancing Pipe Ultrasonic-Guided Wave Anomaly Imaging","display_name":"A Multi-Strategy Hybrid Sparse Reconstruction Method Based on Spatial\u2013Temporal Sparse Wave Number Analysis for Enhancing Pipe Ultrasonic-Guided Wave Anomaly Imaging","publication_year":2024,"publication_date":"2024-08-20","ids":{"openalex":"https://openalex.org/W4401976965","doi":"https://doi.org/10.3390/s24165374","pmid":"https://pubmed.ncbi.nlm.nih.gov/39205075"},"language":"en","primary_location":{"id":"doi:10.3390/s24165374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165374","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5374/pdf?version=1724162444","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/24/16/5374/pdf?version=1724162444","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057256570","display_name":"Binghui Tang","orcid":"https://orcid.org/0000-0001-8909-6106"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Binghui Tang","raw_affiliation_strings":["College of Power Engineering, Naval University of Engineering, Wuhan 430030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Power Engineering, Naval University of Engineering, Wuhan 430030, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103026764","display_name":"Yuemin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yuemin Wang","raw_affiliation_strings":["College of Power Engineering, Naval University of Engineering, Wuhan 430030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Power Engineering, Naval University of Engineering, Wuhan 430030, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006298192","display_name":"Ruqing Gong","orcid":null},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqing Gong","raw_affiliation_strings":["College of Power Engineering, Naval University of Engineering, Wuhan 430030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Power Engineering, Naval University of Engineering, Wuhan 430030, China","institution_ids":["https://openalex.org/I2800710378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100403505","display_name":"Fan Zhou","orcid":"https://orcid.org/0000-0002-8038-8150"},"institutions":[{"id":"https://openalex.org/I2800710378","display_name":"Naval University of Engineering","ror":"https://ror.org/056vyez31","country_code":"CN","type":"education","lineage":["https://openalex.org/I2800710378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Zhou","raw_affiliation_strings":["College of Power Engineering, Naval University of Engineering, Wuhan 430030, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Power Engineering, Naval University of Engineering, Wuhan 430030, China","institution_ids":["https://openalex.org/I2800710378"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103026764"],"corresponding_institution_ids":["https://openalex.org/I2800710378"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":0.73,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.65014097,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"24","issue":"16","first_page":"5374","last_page":"5374"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9998999834060669,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/ultrasonic-sensor","display_name":"Ultrasonic sensor","score":0.6540150046348572},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4968428909778595},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49305459856987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48258697986602783},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46737828850746155},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.463522732257843},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.45286861062049866},{"id":"https://openalex.org/keywords/sparse-array","display_name":"Sparse array","score":0.4140806794166565},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.4094200134277344},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3512917459011078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2548425793647766},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.20432749390602112}],"concepts":[{"id":"https://openalex.org/C81288441","wikidata":"https://www.wikidata.org/wiki/Q20736125","display_name":"Ultrasonic sensor","level":2,"score":0.6540150046348572},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4968428909778595},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49305459856987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48258697986602783},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46737828850746155},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.463522732257843},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.45286861062049866},{"id":"https://openalex.org/C145177509","wikidata":"https://www.wikidata.org/wiki/Q1050404","display_name":"Sparse array","level":2,"score":0.4140806794166565},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.4094200134277344},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3512917459011078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2548425793647766},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.20432749390602112},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.3390/s24165374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165374","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5374/pdf?version=1724162444","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},{"id":"pmid:39205075","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39205075","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11359285","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11359285","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11359285/pdf/sensors-24-05374.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:bc12701efedb484585e62da62b8de547","is_oa":false,"landing_page_url":"https://doaj.org/article/bc12701efedb484585e62da62b8de547","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 24, Iss 16, p 5374 (2024)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/24/16/5374/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s24165374","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s24165374","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s24165374","pdf_url":"https://www.mdpi.com/1424-8220/24/16/5374/pdf?version=1724162444","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401976965.pdf"},"referenced_works_count":48,"referenced_works":["https://openalex.org/W1822071811","https://openalex.org/W1989812483","https://openalex.org/W1991887628","https://openalex.org/W2002356142","https://openalex.org/W2037875766","https://openalex.org/W2044265222","https://openalex.org/W2060033573","https://openalex.org/W2089282087","https://openalex.org/W2289917018","https://openalex.org/W2590449159","https://openalex.org/W2765713911","https://openalex.org/W2768107934","https://openalex.org/W2800736713","https://openalex.org/W2833904163","https://openalex.org/W2899473103","https://openalex.org/W2911958892","https://openalex.org/W2944032671","https://openalex.org/W2965593485","https://openalex.org/W2976203541","https://openalex.org/W2982610897","https://openalex.org/W2989575661","https://openalex.org/W3003864435","https://openalex.org/W3015883443","https://openalex.org/W3111852038","https://openalex.org/W3111859751","https://openalex.org/W3123746709","https://openalex.org/W3138789180","https://openalex.org/W3156686306","https://openalex.org/W3159788965","https://openalex.org/W3179192016","https://openalex.org/W3213561819","https://openalex.org/W4211087268","https://openalex.org/W4226325170","https://openalex.org/W4226466500","https://openalex.org/W4281844296","https://openalex.org/W4282042938","https://openalex.org/W4310004251","https://openalex.org/W4310502344","https://openalex.org/W4311986542","https://openalex.org/W4321453218","https://openalex.org/W4362659185","https://openalex.org/W4365454171","https://openalex.org/W4366724738","https://openalex.org/W4378574878","https://openalex.org/W4385076118","https://openalex.org/W4393852082","https://openalex.org/W4404057496","https://openalex.org/W6851806521"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160","https://openalex.org/W3210364259","https://openalex.org/W4300558037","https://openalex.org/W2912112202","https://openalex.org/W2667207928","https://openalex.org/W4377864969","https://openalex.org/W2972971679"],"abstract_inverted_index":{"Ultrasonic-guided":[0],"waves":[1],"(UGWs)":[2],"in":[3,137],"defective":[4,124],"pipes":[5],"are":[6,104,153],"subject":[7],"to":[8,65],"severe":[9],"coherent":[10,88],"noise":[11,89],"caused":[12],"by":[13,90],"imperfect":[14],"detection":[15],"conditions,":[16],"mode":[17],"conversion,":[18],"and":[19,23,38,76,127,140,149,156],"intrinsic":[20],"characteristics":[21],"(dispersion":[22],"multiple":[24],"modes),":[25],"inducing":[26],"the":[27,35,61,67,85,95,112,115,123,128,131],"limited":[28],"performance":[29],"of":[30,40,63,87,114,134],"anomaly":[31,41,135],"imaging.":[32,109],"To":[33,110],"achieve":[34],"high":[36],"resolution":[37,139],"accuracy":[39],"imaging,":[42],"a":[43,73],"multi-strategy":[44],"hybrid":[45],"sparse":[46,53,99,107],"reconstruction":[47,108],"(MHSR)":[48],"method":[49],"based":[50],"on":[51,94,122],"spatial-temporal":[52],"wavenumber":[54,68],"analysis":[55],"(ST-SWA)":[56],"is":[57,120],"proposed.":[58],"MHSR":[59,103],"leverages":[60],"capability":[62],"ST-SWA":[64],"extract":[66],"dispersion":[69,92],"curves,":[70],"thereby":[71],"providing":[72],"more":[74],"refined":[75],"precise":[77],"search":[78],"space":[79],"for":[80,106,147],"MHSR.":[81],"Furthermore,":[82],"it":[83],"mitigates":[84],"impact":[86],"conducting":[91],"compensation":[93],"reconstructed":[96],"signal.":[97],"The":[98,143],"compensated":[100],"signals":[101],"through":[102],"employed":[105],"validate":[111],"efficacy":[113],"proposed":[116],"method,":[117],"UGW":[118],"testing":[119],"performed":[121],"steel":[125],"pipe,":[126],"results":[129],"demonstrate":[130],"significant":[132],"enhancement":[133],"imaging":[136],"defect":[138,151],"positioning":[141],"accuracy.":[142],"lowest":[144],"estimated":[145],"errors":[146],"axial":[148],"circumferential":[150],"positions":[152],"10":[154],"mm":[155],"4":[157],"mm,":[158],"respectively.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
