{"id":"https://openalex.org/W3096722556","doi":"https://doi.org/10.1109/icnsc48988.2020.9238108","title":"Percussion-based Detection of Bolt Looseness Using Speech Recognition Technology and Least Square Support Vector Machine","display_name":"Percussion-based Detection of Bolt Looseness Using Speech Recognition Technology and Least Square Support Vector Machine","publication_year":2020,"publication_date":"2020-10-30","ids":{"openalex":"https://openalex.org/W3096722556","doi":"https://doi.org/10.1109/icnsc48988.2020.9238108","mag":"3096722556"},"language":"en","primary_location":{"id":"doi:10.1109/icnsc48988.2020.9238108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc48988.2020.9238108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-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/A5053534500","display_name":"Furui Wang","orcid":"https://orcid.org/0000-0001-8044-8339"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Furui Wang","raw_affiliation_strings":["University of Houston, Houston, United States"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, United States","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081641600","display_name":"Xuemin Chen","orcid":"https://orcid.org/0000-0003-3820-9195"},"institutions":[{"id":"https://openalex.org/I48205209","display_name":"Texas Southern University","ror":"https://ror.org/05ch0aw77","country_code":"US","type":"education","lineage":["https://openalex.org/I48205209"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuemin Chen","raw_affiliation_strings":["Southern University, Houston, United States"],"affiliations":[{"raw_affiliation_string":"Southern University, Houston, United States","institution_ids":["https://openalex.org/I48205209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045166512","display_name":"Gangbing Song","orcid":"https://orcid.org/0000-0001-5135-5555"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gangbing Song","raw_affiliation_strings":["University of Houston, Houston, United States"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, United States","institution_ids":["https://openalex.org/I44461941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053534500"],"corresponding_institution_ids":["https://openalex.org/I44461941"],"apc_list":null,"apc_paid":null,"fwci":0.2995,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.51977462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9883000254631042,"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":0.9883000254631042,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9621000289916992,"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/T13925","display_name":"Offshore Engineering and Technologies","score":0.961899995803833,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/percussion","display_name":"Percussion","score":0.8125413656234741},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.7665848731994629},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.653253972530365},{"id":"https://openalex.org/keywords/subsea","display_name":"Subsea","score":0.5830419659614563},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.581710159778595},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5802728533744812},{"id":"https://openalex.org/keywords/cepstrum","display_name":"Cepstrum","score":0.4870612919330597},{"id":"https://openalex.org/keywords/flange","display_name":"Flange","score":0.448953777551651},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4447228014469147},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.4222896695137024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4037162959575653},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.36854419112205505},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.3259264826774597},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.22292360663414001},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.1780720055103302}],"concepts":[{"id":"https://openalex.org/C81687914","wikidata":"https://www.wikidata.org/wiki/Q1501797","display_name":"Percussion","level":2,"score":0.8125413656234741},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.7665848731994629},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.653253972530365},{"id":"https://openalex.org/C2777737062","wikidata":"https://www.wikidata.org/wiki/Q14898686","display_name":"Subsea","level":2,"score":0.5830419659614563},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.581710159778595},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5802728533744812},{"id":"https://openalex.org/C88485024","wikidata":"https://www.wikidata.org/wiki/Q1054571","display_name":"Cepstrum","level":2,"score":0.4870612919330597},{"id":"https://openalex.org/C2778417280","wikidata":"https://www.wikidata.org/wiki/Q955957","display_name":"Flange","level":2,"score":0.448953777551651},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4447228014469147},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.4222896695137024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4037162959575653},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.36854419112205505},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3259264826774597},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.22292360663414001},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.1780720055103302},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199104240","wikidata":"https://www.wikidata.org/wiki/Q118291","display_name":"Marine engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnsc48988.2020.9238108","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnsc48988.2020.9238108","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Networking, Sensing and Control (ICNSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1924192535","display_name":null,"funder_award_id":"201706060203","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W740415","https://openalex.org/W1970392706","https://openalex.org/W2024575446","https://openalex.org/W2032423026","https://openalex.org/W2047469300","https://openalex.org/W2061881907","https://openalex.org/W2064011572","https://openalex.org/W2290028669","https://openalex.org/W2751800584","https://openalex.org/W2770424170","https://openalex.org/W2805803027","https://openalex.org/W2811285924","https://openalex.org/W2858852485","https://openalex.org/W2883609031","https://openalex.org/W2946456806","https://openalex.org/W2965583534","https://openalex.org/W2968602999","https://openalex.org/W2989630770","https://openalex.org/W4239944110","https://openalex.org/W4301501800"],"related_works":["https://openalex.org/W4252429873","https://openalex.org/W2018086531","https://openalex.org/W1980297060","https://openalex.org/W2387604097","https://openalex.org/W2373675101","https://openalex.org/W4385672897","https://openalex.org/W106160982","https://openalex.org/W2359140082","https://openalex.org/W2074132948","https://openalex.org/W2160511961"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"to":[3,28,48,57],"detect":[4],"bolt":[5,62],"looseness":[6],"of":[7,52],"a":[8,13],"subsea":[9],"flange,":[10],"we":[11,35],"develop":[12],"new":[14],"percussion":[15],"method":[16,66],"using":[17],"speech":[18],"recognition":[19],"technology":[20],"and":[21,73,79],"least":[22],"square":[23],"support":[24],"vector":[25],"machine.":[26],"Especially,":[27],"extract":[29],"features":[30],"from":[31],"percussion-induced":[32],"sound":[33],"signals,":[34],"employ":[36],"the":[37,50,53,64,88],"mel":[38],"frequency":[39],"cepstral":[40],"coefficient":[41],"(MFCC).":[42],"Finally,":[43],"an":[44],"experiment":[45],"is":[46],"conducted":[47],"verify":[49],"effectiveness":[51],"proposed":[54,65],"method.":[55],"Compared":[56],"current":[58],"detection":[59],"methods":[60],"for":[61,82],"loosening,":[63],"can":[67],"avoid":[68],"constant":[69],"contact":[70],"between":[71],"sensors":[72],"structures,":[74],"which":[75],"significantly":[76],"improves":[77],"practicability":[78],"provides":[80],"guidance":[81],"structural":[83],"health":[84],"monitoring":[85],"based":[86],"on":[87],"cyber-physics":[89],"systems.":[90]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}