{"id":"https://openalex.org/W4403061548","doi":"https://doi.org/10.1109/iotaai62601.2024.10692395","title":"Research on CFRP Cylinder Impact Damage Classification Expression Method Based on Wiener-Hilbert Transform and Faster R-CNN Detection","display_name":"Research on CFRP Cylinder Impact Damage Classification Expression Method Based on Wiener-Hilbert Transform and Faster R-CNN Detection","publication_year":2024,"publication_date":"2024-07-26","ids":{"openalex":"https://openalex.org/W4403061548","doi":"https://doi.org/10.1109/iotaai62601.2024.10692395"},"language":"en","primary_location":{"id":"doi:10.1109/iotaai62601.2024.10692395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotaai62601.2024.10692395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5051574202","display_name":"Song Huang","orcid":"https://orcid.org/0000-0003-1385-7591"},"institutions":[{"id":"https://openalex.org/I4210112488","display_name":"China Special Equipment Inspection and Research Institute","ror":"https://ror.org/01fmwwp26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112488"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Huang","raw_affiliation_strings":["Chongqing Special Equipment Inspection and Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Special Equipment Inspection and Research Institute,China","institution_ids":["https://openalex.org/I4210112488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052141577","display_name":"Shutao Xiong","orcid":null},"institutions":[{"id":"https://openalex.org/I4210112488","display_name":"China Special Equipment Inspection and Research Institute","ror":"https://ror.org/01fmwwp26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112488"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shutao Xiong","raw_affiliation_strings":["Chongqing Special Equipment Inspection and Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Special Equipment Inspection and Research Institute,China","institution_ids":["https://openalex.org/I4210112488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115695181","display_name":"Fei Wang","orcid":"https://orcid.org/0000-0001-5768-7323"},"institutions":[{"id":"https://openalex.org/I4210112488","display_name":"China Special Equipment Inspection and Research Institute","ror":"https://ror.org/01fmwwp26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112488"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Wang","raw_affiliation_strings":["Chongqing Special Equipment Inspection and Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Special Equipment Inspection and Research Institute,China","institution_ids":["https://openalex.org/I4210112488"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046913049","display_name":"Zhongshan Li","orcid":"https://orcid.org/0000-0002-0447-2748"},"institutions":[{"id":"https://openalex.org/I4210112488","display_name":"China Special Equipment Inspection and Research Institute","ror":"https://ror.org/01fmwwp26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112488"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongshan Li","raw_affiliation_strings":["Chongqing Special Equipment Inspection and Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Special Equipment Inspection and Research Institute,China","institution_ids":["https://openalex.org/I4210112488"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080522897","display_name":"Qiaoqiao Chen","orcid":"https://orcid.org/0000-0002-3409-5402"},"institutions":[{"id":"https://openalex.org/I4210112488","display_name":"China Special Equipment Inspection and Research Institute","ror":"https://ror.org/01fmwwp26","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210112488"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiaoqiao Chen","raw_affiliation_strings":["Chongqing Special Equipment Inspection and Research Institute,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing Special Equipment Inspection and Research Institute,China","institution_ids":["https://openalex.org/I4210112488"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210112488"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"37","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10396","display_name":"Fatigue and fracture mechanics","score":0.9484000205993652,"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/T10396","display_name":"Fatigue and fracture mechanics","score":0.9484000205993652,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/hilbert-transform","display_name":"Hilbert transform","score":0.5431394577026367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4828398823738098},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.47796058654785156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4408872127532959},{"id":"https://openalex.org/keywords/cylinder","display_name":"Cylinder","score":0.43745291233062744},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4240944981575012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3441467881202698},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3206835687160492},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1575905680656433},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.0558144748210907}],"concepts":[{"id":"https://openalex.org/C28799612","wikidata":"https://www.wikidata.org/wiki/Q685437","display_name":"Hilbert transform","level":3,"score":0.5431394577026367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4828398823738098},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.47796058654785156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4408872127532959},{"id":"https://openalex.org/C203311528","wikidata":"https://www.wikidata.org/wiki/Q34132","display_name":"Cylinder","level":2,"score":0.43745291233062744},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4240944981575012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3441467881202698},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3206835687160492},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1575905680656433},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0558144748210907},{"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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iotaai62601.2024.10692395","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iotaai62601.2024.10692395","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 6th International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4099999964237213,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1984918470","https://openalex.org/W2007940085","https://openalex.org/W2109255472","https://openalex.org/W2155509221","https://openalex.org/W2884585870","https://openalex.org/W3177052299","https://openalex.org/W6620707391"],"related_works":["https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W2071889114","https://openalex.org/W1499911826","https://openalex.org/W3129895999","https://openalex.org/W2328518092","https://openalex.org/W3101249758","https://openalex.org/W2382079200","https://openalex.org/W2015869945","https://openalex.org/W2374091470"],"abstract_inverted_index":{"Carbon":[0],"Fiber":[1],"Reinforced":[2],"Polymer":[3],"(CFRP)":[4],"composite":[5],"wound":[6],"pressure":[7,48],"vessels":[8],"are":[9,69],"a":[10,84,154],"type":[11],"of":[12,24,36,47,96,146,172,179],"special":[13],"equipment":[14],"widely":[15],"used":[16,120],"in":[17,161],"various":[18],"applications.":[19],"Impact":[20],"damage":[21,38,160],"is":[22,39],"one":[23,171],"the":[25,52,56,73,92,111,173,177],"most":[26],"common":[27],"hazards":[28],"during":[29],"their":[30],"use,":[31],"and":[32,66,105,131,165],"effective":[33],"feature":[34,85,123,135,155],"representation":[35,79,88],"impact":[37,45,54,74,113,147,159,180],"key":[40],"to":[41,51,110,121,140],"its":[42],"identification.":[43],"In":[44],"tests":[46],"vessels,":[49],"due":[50],"enormous":[53],"energy,":[55],"acoustic":[57,97],"emission":[58,98],"response":[59],"signals":[60],"from":[61],"fiber":[62,64],"breakage,":[63],"delamination,":[65],"matrix":[67],"cracking":[68],"often":[70],"overwhelmed":[71],"by":[72],"energy":[75,86,124,136],"itself,":[76],"making":[77],"precise":[78],"challenging.":[80],"This":[81,149],"paper":[82],"proposes":[83],"band":[87,125],"method":[89,150],"based":[90],"on":[91],"Wigner-Hilbert":[93,106],"time-frequency":[94],"diagram":[95],"responses.":[99],"An":[100,115],"experimental":[101],"protocol":[102],"was":[103,108,119],"designed,":[104],"transform":[107],"applied":[109],"collected":[112],"signals.":[114],"improved":[116],"Faster":[117],"R-CNN":[118],"detect":[122],"images":[126],"with":[127],"different":[128,144],"aspect":[129],"ratios":[130],"areas.":[132],"The":[133],"detected":[134],"bands":[137],"were":[138],"found":[139],"effectively":[141],"distinguish":[142],"three":[143],"types":[145],"damage.":[148,181],"can":[151,166],"serve":[152],"as":[153,170],"parameter":[156],"for":[157,175],"identifying":[158],"practical":[162],"engineering":[163],"applications":[164],"be":[167],"further":[168],"studied":[169],"parameters":[174],"recognizing":[176],"development":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
