{"id":"https://openalex.org/W2008085290","doi":"https://doi.org/10.1109/isie.2013.6563630","title":"Penetration feature extraction and modeling of arc sound signal in GTAW based on wavelet analysis and hidden Markov model","display_name":"Penetration feature extraction and modeling of arc sound signal in GTAW based on wavelet analysis and hidden Markov model","publication_year":2013,"publication_date":"2013-05-01","ids":{"openalex":"https://openalex.org/W2008085290","doi":"https://doi.org/10.1109/isie.2013.6563630","mag":"2008085290"},"language":"en","primary_location":{"id":"doi:10.1109/isie.2013.6563630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2013.6563630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Industrial Electronics","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/A5110085860","display_name":"Na Lv","orcid":"https://orcid.org/0009-0002-3097-2313"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lv Na","raw_affiliation_strings":["Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100843978","display_name":"Jiyong Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhong Ji-yong","raw_affiliation_strings":["Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101517400","display_name":"Huabin Chen","orcid":"https://orcid.org/0000-0002-0962-6232"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Hua-bin","raw_affiliation_strings":["Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037073861","display_name":"Shanben Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Shan-ben","raw_affiliation_strings":["Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Institute of Welding Engineering, Shanghai Jiaotong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103673757","display_name":"Wang Ji-feng","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149814","display_name":"Shanghai Institute of Quality Inspection and Technical Research","ror":"https://ror.org/04vptn707","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210149814"]},{"id":"https://openalex.org/I4210148854","display_name":"Shandong Special Equipment Inspection Institute","ror":"https://ror.org/04nk2tb51","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210148854"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wang Ji-feng","raw_affiliation_strings":["Shanghai Institute of Special Equipment Inspection & Technical Research, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Institute of Special Equipment Inspection & Technical Research, Shanghai, China","institution_ids":["https://openalex.org/I4210149814","https://openalex.org/I4210148854"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5110085860"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.4054,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.66337655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9678999781608582,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9678999781608582,"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/T14368","display_name":"Evaluation and Optimization Models","score":0.9484000205993652,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.9294999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6234657764434814},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6070984601974487},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.5977438688278198},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5173465609550476},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.45444995164871216},{"id":"https://openalex.org/keywords/gas-tungsten-arc-welding","display_name":"Gas tungsten arc welding","score":0.4303252696990967},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4131774306297302},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4078257381916046},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3756451904773712},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1815238893032074},{"id":"https://openalex.org/keywords/arc-welding","display_name":"Arc welding","score":0.1408674716949463},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.12112727761268616},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.07488423585891724},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07045817375183105}],"concepts":[{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6234657764434814},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6070984601974487},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.5977438688278198},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5173465609550476},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.45444995164871216},{"id":"https://openalex.org/C3450827","wikidata":"https://www.wikidata.org/wiki/Q1627310","display_name":"Gas tungsten arc welding","level":4,"score":0.4303252696990967},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4131774306297302},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4078257381916046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3756451904773712},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1815238893032074},{"id":"https://openalex.org/C20480867","wikidata":"https://www.wikidata.org/wiki/Q422937","display_name":"Arc welding","level":3,"score":0.1408674716949463},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.12112727761268616},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.07488423585891724},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07045817375183105}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isie.2013.6563630","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie.2013.6563630","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Industrial Electronics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W8219410","https://openalex.org/W18388472","https://openalex.org/W140961702","https://openalex.org/W159818168","https://openalex.org/W1971364444","https://openalex.org/W1972486275","https://openalex.org/W2009376972","https://openalex.org/W2038262288","https://openalex.org/W2091897451","https://openalex.org/W2107957648","https://openalex.org/W2125838338","https://openalex.org/W2138357923","https://openalex.org/W2354957861","https://openalex.org/W2519323751","https://openalex.org/W4285719527","https://openalex.org/W6600340568","https://openalex.org/W6726305161"],"related_works":["https://openalex.org/W2053269318","https://openalex.org/W2136763963","https://openalex.org/W2109705048","https://openalex.org/W2940588515","https://openalex.org/W1909151225","https://openalex.org/W1987783679","https://openalex.org/W2160030256","https://openalex.org/W1521297879","https://openalex.org/W4253235840","https://openalex.org/W3151937861"],"abstract_inverted_index":{"In":[0],"this":[1,140],"paper,":[2],"a":[3],"prediction":[4,92,111,141],"model":[5,35,48,93,112,142],"between":[6],"arc":[7,58,77,114,151],"sound":[8,59,78,115,152],"signal":[9,60,79,116],"and":[10,28,82,86,117,130],"penetration":[11,118],"states":[12,119],"in":[13,146],"Gas":[14],"Tungsten":[15],"Arc":[16],"Welding":[17],"(GTAW)":[18],"is":[19,61],"proposed,":[20],"based":[21],"on":[22,90],"multi-scale":[23],"analysis":[24],"of":[25,32,54,57,66,76,108,113,150],"wavelet":[26,68],"transform":[27],"applying":[29],"the":[30,67,91,96,105],"theory":[31],"hidden":[33,46],"markov":[34,47],"(HMM)":[36],"for":[37],"its":[38,144],"good":[39],"dynamic":[40,134,147],"time":[41],"sequence":[42],"modeling":[43,149],"ability,":[44],"using":[45],"toolkit":[49],"(HTK)":[50],"software.":[51],"The":[52,100],"region":[53],"interest":[55],"(ROI)":[56],"firstly":[62],"extracted":[63,81],"by":[64],"means":[65],"transform,":[69],"then":[70],"Mel":[71],"frequency":[72],"cepstral":[73],"coefficients":[74],"(MFCC)":[75],"are":[80,88],"analyzed.":[83],"Furthermore,":[84],"training":[85],"recognition":[87,106,128],"implemented":[89],"to":[94],"get":[95],"best":[97],"setting":[98],"model.":[99],"experimental":[101],"results":[102],"demonstrated":[103],"that":[104],"rate":[107,129],"\u2018wavelet":[109],"analysis+HMM\u2019":[110],"could":[120],"reach":[121],"more":[122],"than":[123],"90%,":[124],"which":[125],"has":[126,143],"higher":[127],"adaptive":[131],"capacity":[132],"during":[133],"robot":[135],"GTAW":[136],"welding":[137],"process.":[138],"Consequently,":[139],"advantage":[145],"process":[148],"signal.":[153]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}