{"id":"https://openalex.org/W4225926312","doi":"https://doi.org/10.1109/tii.2022.3147828","title":"Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals","display_name":"Deep Learning-Based Explainable Fault Diagnosis Model With an Individually Grouped 1-D Convolution for Three-Axis Vibration Signals","publication_year":2022,"publication_date":"2022-02-01","ids":{"openalex":"https://openalex.org/W4225926312","doi":"https://doi.org/10.1109/tii.2022.3147828"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3147828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3147828","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-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/A5100444966","display_name":"Min Su Kim","orcid":"https://orcid.org/0000-0001-5702-1732"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Min Su Kim","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031643443","display_name":"Jong Pil Yun","orcid":"https://orcid.org/0000-0002-2802-9978"},"institutions":[{"id":"https://openalex.org/I88761825","display_name":"Korea University of Science and Technology","ror":"https://ror.org/000qzf213","country_code":"KR","type":"education","lineage":["https://openalex.org/I88761825"]},{"id":"https://openalex.org/I89004649","display_name":"Korea Institute of Industrial Technology","ror":"https://ror.org/04qfph657","country_code":"KR","type":"other","lineage":["https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098","https://openalex.org/I89004649"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong Pil Yun","raw_affiliation_strings":["Korea Institute of Industrial Technology, Gyeongsan, South Korea","KITECH School, University of Science and Technology, Daejeon, South Korea"],"affiliations":[{"raw_affiliation_string":"Korea Institute of Industrial Technology, Gyeongsan, South Korea","institution_ids":["https://openalex.org/I89004649"]},{"raw_affiliation_string":"KITECH School, University of Science and Technology, Daejeon, South Korea","institution_ids":["https://openalex.org/I88761825","https://openalex.org/I89004649"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088952968","display_name":"PooGyeon Park","orcid":"https://orcid.org/0000-0002-8249-5427"},"institutions":[{"id":"https://openalex.org/I123900574","display_name":"Pohang University of Science and Technology","ror":"https://ror.org/04xysgw12","country_code":"KR","type":"education","lineage":["https://openalex.org/I123900574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"PooGyeon Park","raw_affiliation_strings":["Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Pohang University of Science and Technology, Pohang, South Korea","institution_ids":["https://openalex.org/I123900574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100444966"],"corresponding_institution_ids":["https://openalex.org/I123900574"],"apc_list":null,"apc_paid":null,"fwci":4.6995,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.95481018,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"18","issue":"12","first_page":"8807","last_page":"8817"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9984999895095825,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9984999895095825,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.5669939517974854},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5566719174385071},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.536376953125},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4811743199825287},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.45046964287757874},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.41830796003341675},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41085922718048096},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3696545660495758},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3217536211013794},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2909393906593323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19558867812156677},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12159138917922974},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.10050055384635925}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5669939517974854},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5566719174385071},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.536376953125},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4811743199825287},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.45046964287757874},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.41830796003341675},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41085922718048096},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3696545660495758},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3217536211013794},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2909393906593323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19558867812156677},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12159138917922974},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.10050055384635925},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3147828","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3147828","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6700000166893005}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1597576211","https://openalex.org/W1686810756","https://openalex.org/W2158958729","https://openalex.org/W2549139847","https://openalex.org/W2584994008","https://openalex.org/W2618530766","https://openalex.org/W2736470268","https://openalex.org/W2753415590","https://openalex.org/W2762355244","https://openalex.org/W2768753204","https://openalex.org/W2783819238","https://openalex.org/W2791036512","https://openalex.org/W2791694051","https://openalex.org/W2824125274","https://openalex.org/W2887782657","https://openalex.org/W2908969754","https://openalex.org/W2925209208","https://openalex.org/W2954503794","https://openalex.org/W2963921977","https://openalex.org/W2969372261","https://openalex.org/W2989818023","https://openalex.org/W2990920633","https://openalex.org/W2998506103","https://openalex.org/W3002188287","https://openalex.org/W3006342871","https://openalex.org/W3039300052","https://openalex.org/W3046716936","https://openalex.org/W3178658307","https://openalex.org/W3178997227","https://openalex.org/W4297775537","https://openalex.org/W6637373629","https://openalex.org/W6737664043","https://openalex.org/W6743846187","https://openalex.org/W6780226713"],"related_works":["https://openalex.org/W2068608913","https://openalex.org/W3124914020","https://openalex.org/W2141033859","https://openalex.org/W2156434174","https://openalex.org/W2071701083","https://openalex.org/W2383687187","https://openalex.org/W2081517010","https://openalex.org/W2121496884","https://openalex.org/W2387910809","https://openalex.org/W3088721469"],"abstract_inverted_index":{"This":[0],"article":[1,106],"proposes":[2,107],"a":[3,70,108,185],"new":[4],"end-to-end":[5,36],"deep":[6],"learning":[7],"model":[8,40,92,118,126,174,194],"for":[9],"fault":[10],"diagnosis":[11],"using":[12,69,217],"three-axis":[13,20,66,180],"vibration":[14,21,67,181],"signals":[15,22,68,182],"measured":[16,23,183],"from":[17,64,78,184],"facilities.":[18],"The":[19,38,74,166],"in":[24,119,202,222],"the":[25,35,65,90,97,112,116,120,124,128,137,159,163,172,192,200,218,223],"time":[26],"domain":[27,31],"are":[28,81],"used":[29],"without":[30],"transformations":[32],"to":[33,43,110,135,139,175],"train":[34],"model.":[37,165],"proposed":[39,91,117,125,129,164,173,193],"is":[41,133,168],"designed":[42],"effectively":[44],"extract":[45],"feature":[46,75],"maps":[47,76],"of":[48,83,86,100,115,143,162],"each":[49,79,87,101,144,203],"<italic":[50,54,59,145,149,154,204,208,213],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[51,55,60,146,150,155,205,209,214],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">X</i>":[52,147,206],"-,":[53,57,148,152,207,211],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Y</i>":[56,151,210],"and":[58,127,153,198,212],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">Z</i>":[61,156,215],"-axis":[62,157,216],"individually":[63],"grouped":[71],"1-D":[72],"convolution.":[73],"extracted":[77],"axis":[80],"composed":[82],"specific":[84,141],"frequencies":[85,142],"axis.":[88,102],"Accordingly,":[89],"classifies":[93],"faults":[94],"based":[95],"on":[96],"frequency":[98,121,224],"characteristics":[99],"In":[103],"addition,":[104],"this":[105],"method":[109],"visualize":[111],"decision":[113,160,220],"criteria":[114,161,221],"domain.":[122,225],"Using":[123],"visualization":[130],"method,":[131],"it":[132],"possible":[134],"grasp":[136],"degree":[138],"which":[140],"affect":[158],"experiment":[167],"conducted":[169],"by":[170],"applying":[171],"an":[176],"open":[177],"dataset":[178],"with":[179],"rotary":[186],"machine.":[187],"Experimental":[188],"results":[189],"demonstrate":[190],"that":[191],"achieves":[195],"high":[196],"accuracy":[197],"provides":[199],"explainability":[201],"visualized":[219]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}