{"id":"https://openalex.org/W2963379434","doi":"https://doi.org/10.1007/978-3-030-26474-1_1","title":"Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis","display_name":"Soft Filtering of Acoustic Emission Signals Based on the Complex Use of Huang Transform and Wavelet Analysis","publication_year":2019,"publication_date":"2019-07-23","ids":{"openalex":"https://openalex.org/W2963379434","doi":"https://doi.org/10.1007/978-3-030-26474-1_1","mag":"2963379434"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-26474-1_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-26474-1_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1007/978-3-030-26474-1_1","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076340310","display_name":"Sergii Babichev","orcid":"https://orcid.org/0000-0001-6797-1467"},"institutions":[{"id":"https://openalex.org/I3122934890","display_name":"Jan Evangelista Purkyn\u011b University in \u00dast\u00ed nad Labem","ror":"https://ror.org/04vjwcp92","country_code":"CZ","type":"education","lineage":["https://openalex.org/I3122934890"]},{"id":"https://openalex.org/I36730113","display_name":"Ukrainian Academy of Printing","ror":"https://ror.org/01491yv14","country_code":"UA","type":"education","lineage":["https://openalex.org/I36730113"]}],"countries":["CZ","UA"],"is_corresponding":false,"raw_author_name":"Sergii Babichev","raw_affiliation_strings":["Jan Evangelista Purkyn\u011b University in \u00dast\u00ed nad Labem, \u00dast\u00ed nad Labem, Czech Republic","Ukrainian Academy of Printing, Lviv, Ukraine"],"raw_orcid":"https://orcid.org/0000-0001-6797-1467","affiliations":[{"raw_affiliation_string":"Jan Evangelista Purkyn\u011b University in \u00dast\u00ed nad Labem, \u00dast\u00ed nad Labem, Czech Republic","institution_ids":["https://openalex.org/I3122934890"]},{"raw_affiliation_string":"Ukrainian Academy of Printing, Lviv, Ukraine","institution_ids":["https://openalex.org/I36730113"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Oleksandr Sharko","orcid":"https://orcid.org/0000-0001-6400-8528"},"institutions":[{"id":"https://openalex.org/I4210090126","display_name":"Kherson State Maritime Academy","ror":"https://ror.org/00dfbfw84","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210090126"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleksandr Sharko","raw_affiliation_strings":["Kherson State Maritime Academy, Kherson, Ukraine"],"raw_orcid":"https://orcid.org/0000-0001-6400-8528","affiliations":[{"raw_affiliation_string":"Kherson State Maritime Academy, Kherson, Ukraine","institution_ids":["https://openalex.org/I4210090126"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029153834","display_name":"Artem Sharko","orcid":"https://orcid.org/0000-0002-6350-7189"},"institutions":[{"id":"https://openalex.org/I118493624","display_name":"Kherson National Technical University","ror":"https://ror.org/04trbj059","country_code":"UA","type":"education","lineage":["https://openalex.org/I118493624"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Artem Sharko","raw_affiliation_strings":["Kherson National Technical University, Kherson, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kherson National Technical University, Kherson, Ukraine","institution_ids":["https://openalex.org/I118493624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091377852","display_name":"Oleksandr Mikhalyov","orcid":null},"institutions":[{"id":"https://openalex.org/I132769585","display_name":"National Metallurgical Academy of Ukraine","ror":"https://ror.org/026tjcs76","country_code":"UA","type":"education","lineage":["https://openalex.org/I132769585"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Oleksandr Mikhalyov","raw_affiliation_strings":["National Metallurgical Academy of Ukraine, Dnipro, Ukraine"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Metallurgical Academy of Ukraine, Dnipro, Ukraine","institution_ids":["https://openalex.org/I132769585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.2992,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.96895174,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9954000115394592,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9954000115394592,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9926999807357788,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T14076","display_name":"Material Properties and Failure Mechanisms","score":0.9848999977111816,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.7784835696220398},{"id":"https://openalex.org/keywords/biorthogonal-system","display_name":"Biorthogonal system","score":0.7033389806747437},{"id":"https://openalex.org/keywords/biorthogonal-wavelet","display_name":"Biorthogonal wavelet","score":0.573872447013855},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.5683725476264954},{"id":"https://openalex.org/keywords/acoustic-emission","display_name":"Acoustic emission","score":0.5072042942047119},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.48342859745025635},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.46750104427337646},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.45942333340644836},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.451340913772583},{"id":"https://openalex.org/keywords/stationary-wavelet-transform","display_name":"Stationary wavelet transform","score":0.43298542499542236},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.4328215420246124},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4107288122177124},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.372928649187088},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.34537947177886963},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3354620337486267},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.2959793508052826},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24205267429351807},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12469455599784851}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.7784835696220398},{"id":"https://openalex.org/C158453530","wikidata":"https://www.wikidata.org/wiki/Q864692","display_name":"Biorthogonal system","level":4,"score":0.7033389806747437},{"id":"https://openalex.org/C2778869661","wikidata":"https://www.wikidata.org/wiki/Q4915256","display_name":"Biorthogonal wavelet","level":5,"score":0.573872447013855},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.5683725476264954},{"id":"https://openalex.org/C174598085","wikidata":"https://www.wikidata.org/wiki/Q746673","display_name":"Acoustic emission","level":2,"score":0.5072042942047119},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.48342859745025635},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.46750104427337646},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.45942333340644836},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.451340913772583},{"id":"https://openalex.org/C73339587","wikidata":"https://www.wikidata.org/wiki/Q1375942","display_name":"Stationary wavelet transform","level":5,"score":0.43298542499542236},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.4328215420246124},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4107288122177124},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.372928649187088},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.34537947177886963},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3354620337486267},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.2959793508052826},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24205267429351807},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12469455599784851},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-26474-1_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-26474-1_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.1007/978-3-030-26474-1_1","is_oa":true,"landing_page_url":"https://doi.org/10.1007/978-3-030-26474-1_1","pdf_url":null,"source":{"id":"https://openalex.org/S2764905038","display_name":"Advances in intelligent systems and computing","issn_l":"2194-5357","issn":["2194-5357","2194-5365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"book series"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Intelligent Systems and Computing","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W953696202","https://openalex.org/W1510355813","https://openalex.org/W2007221293","https://openalex.org/W2053443947","https://openalex.org/W2088202114","https://openalex.org/W2105934661","https://openalex.org/W2111125935","https://openalex.org/W2135191607","https://openalex.org/W2140208140","https://openalex.org/W2564104366","https://openalex.org/W2767235736","https://openalex.org/W2767946488","https://openalex.org/W2769331593","https://openalex.org/W2781914331","https://openalex.org/W2795153744","https://openalex.org/W2797310481","https://openalex.org/W2799512773","https://openalex.org/W2802075561","https://openalex.org/W2805284910","https://openalex.org/W2808953799","https://openalex.org/W2810228052","https://openalex.org/W2826897504","https://openalex.org/W2883060455","https://openalex.org/W2888192387","https://openalex.org/W2891130737","https://openalex.org/W2891797696","https://openalex.org/W2895330383","https://openalex.org/W2895854230","https://openalex.org/W2897131301","https://openalex.org/W2906186817","https://openalex.org/W2906596926","https://openalex.org/W2977362130"],"related_works":["https://openalex.org/W2236803669","https://openalex.org/W3041280206","https://openalex.org/W260019428","https://openalex.org/W2366294497","https://openalex.org/W1968391315","https://openalex.org/W2092688868","https://openalex.org/W1537414964","https://openalex.org/W2115242679","https://openalex.org/W2039978882","https://openalex.org/W2353562005"],"abstract_inverted_index":{"The":[0,28,58,69,94],"paper":[1],"presents":[2],"the":[3,6,19,51,55,66,77,85,90,98,110,117,121],"results":[4],"of":[5,10,22,60,79,97,102,105,109,120],"research":[7],"concerning":[8],"development":[9],"acoustic":[11,29],"emission":[12,30],"signals":[13,31,53],"soft":[14],"filtering":[15,67,91],"model":[16],"based":[17,115],"on":[18,116],"complex":[20],"use":[21,78],"Huang":[23],"transform":[24],"and":[25,131],"wavelet":[26,99,106],"analysis.":[27],"which":[32,73,125],"were":[33,63,113,126],"generated":[34],"during":[35,54,65],"crack":[36],"progression":[37],"from":[38],"initiation":[39],"to":[40,88],"final":[41],"failure":[42],"with":[43,76],"several":[44],"distinct":[45],"phases":[46],"have":[47],"been":[48],"used":[49,64,83],"as":[50,84],"experimental":[52],"simulation":[56],"process.":[57,68],"families":[59],"biorthogonal":[61],"wavelets":[62],"Shannon":[70,122],"entropy":[71],"criterion":[72,87],"was":[74,82],"calculated":[75,127],"James-Stein":[80],"estimator":[81],"main":[86],"estimate":[89],"process":[92],"quality.":[93],"optimal":[95],"parameters":[96],"filter":[100],"(type":[101],"wavelet,":[103],"level":[104],"decomposition,":[107],"value":[108,119],"thresholding":[111],"coefficient)":[112],"determined":[114],"minimum":[118],"entropies":[123],"ratio":[124],"for":[128,132],"filtered":[129],"signal":[130],"allocated":[133],"noise":[134],"component.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}