{"id":"https://openalex.org/W2977117446","doi":"https://doi.org/10.1109/tii.2019.2943898","title":"Deep Residual Shrinkage Networks for Fault Diagnosis","display_name":"Deep Residual Shrinkage Networks for Fault Diagnosis","publication_year":2019,"publication_date":"2019-09-27","ids":{"openalex":"https://openalex.org/W2977117446","doi":"https://doi.org/10.1109/tii.2019.2943898","mag":"2977117446"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2943898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2943898","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/A5002417986","display_name":"Minghang Zhao","orcid":"https://orcid.org/0000-0003-3342-1840"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghang Zhao","raw_affiliation_strings":["School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0003-3342-1840","affiliations":[{"raw_affiliation_string":"School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031306802","display_name":"Shisheng Zhong","orcid":"https://orcid.org/0000-0001-5622-9953"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shisheng Zhong","raw_affiliation_strings":["School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034232115","display_name":"Xuyun Fu","orcid":"https://orcid.org/0000-0003-2827-3927"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuyun Fu","raw_affiliation_strings":["School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0003-2827-3927","affiliations":[{"raw_affiliation_string":"School of Naval Architecture and Ocean Engineering, Harbin Institute of Technology, Weihai, China","institution_ids":["https://openalex.org/I204983213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010206131","display_name":"Baoping Tang","orcid":"https://orcid.org/0000-0002-8286-8860"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baoping Tang","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-8286-8860","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013287421","display_name":"Michael Pecht","orcid":"https://orcid.org/0000-0003-1126-8662"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Pecht","raw_affiliation_strings":["Center for Advanced Life Cycle Engineering, University of Maryland, College Park, USA"],"raw_orcid":"https://orcid.org/0000-0003-1126-8662","affiliations":[{"raw_affiliation_string":"Center for Advanced Life Cycle Engineering, University of Maryland, College Park, USA","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":60.028,"has_fulltext":false,"cited_by_count":1360,"citation_normalized_percentile":{"value":0.99985379,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"16","issue":"7","first_page":"4681","last_page":"4690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9955999851226807,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9936000108718872,"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/residual","display_name":"Residual","score":0.7672687768936157},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.750557541847229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7078600525856018},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6920567750930786},{"id":"https://openalex.org/keywords/thresholding","display_name":"Thresholding","score":0.6215603947639465},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6100224852561951},{"id":"https://openalex.org/keywords/shrinkage","display_name":"Shrinkage","score":0.5598597526550293},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.539806604385376},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.511326253414154},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4987795352935791},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.45780467987060547},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4559515118598938},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4389331638813019},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3347187638282776},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1485479176044464}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7672687768936157},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.750557541847229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7078600525856018},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6920567750930786},{"id":"https://openalex.org/C191178318","wikidata":"https://www.wikidata.org/wiki/Q2256906","display_name":"Thresholding","level":3,"score":0.6215603947639465},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6100224852561951},{"id":"https://openalex.org/C180145272","wikidata":"https://www.wikidata.org/wiki/Q7504144","display_name":"Shrinkage","level":2,"score":0.5598597526550293},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.539806604385376},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.511326253414154},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4987795352935791},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.45780467987060547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4559515118598938},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4389331638813019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3347187638282776},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1485479176044464},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2019.2943898","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2943898","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":[],"awards":[{"id":"https://openalex.org/G3969449893","display_name":null,"funder_award_id":"U1533202","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1836465849","https://openalex.org/W1993898831","https://openalex.org/W2049550263","https://openalex.org/W2146842127","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2302255633","https://openalex.org/W2461729787","https://openalex.org/W2562762876","https://openalex.org/W2590288147","https://openalex.org/W2746111230","https://openalex.org/W2752782242","https://openalex.org/W2762355244","https://openalex.org/W2775516437","https://openalex.org/W2789811186","https://openalex.org/W2791694051","https://openalex.org/W2809680646","https://openalex.org/W2888337213","https://openalex.org/W2895955625","https://openalex.org/W2896451001","https://openalex.org/W2906578288","https://openalex.org/W2907007702","https://openalex.org/W2912538417","https://openalex.org/W2921717016","https://openalex.org/W2963420686","https://openalex.org/W2963911037","https://openalex.org/W6638444622","https://openalex.org/W6638667902"],"related_works":["https://openalex.org/W2391958761","https://openalex.org/W2765453142","https://openalex.org/W2356780078","https://openalex.org/W2356008845","https://openalex.org/W255134961","https://openalex.org/W2348314720","https://openalex.org/W4385301753","https://openalex.org/W2171501125","https://openalex.org/W2770006443","https://openalex.org/W2617234683"],"abstract_inverted_index":{"This":[0],"article":[1],"develops":[2],"new":[3],"deep":[4,8,40,62],"learning":[5,16],"methods,":[6],"namely,":[7],"residual":[9,63],"shrinkage":[10,64],"networks,":[11],"to":[12,42,53,75],"improve":[13],"the":[14,39,58,60,78,93],"feature":[15],"ability":[17],"from":[18],"highly":[19],"noised":[20],"vibration":[21],"signals":[22],"and":[23],"achieve":[24],"a":[25,67],"high":[26],"fault":[27],"diagnosing":[28],"accuracy.":[29],"Soft":[30],"thresholding":[31],"is":[32,50,87,96],"inserted":[33],"as":[34,72],"nonlinear":[35],"transformation":[36],"layers":[37],"into":[38],"architectures":[41],"eliminate":[43],"unimportant":[44],"features.":[45],"Moreover,":[46],"considering":[47],"that":[48,81],"it":[49],"generally":[51],"challenging":[52],"set":[54],"proper":[55],"values":[56],"for":[57],"thresholds,":[59,79],"developed":[61,94],"networks":[65,71],"integrate":[66],"few":[68],"specialized":[69],"neural":[70],"trainable":[73],"modules":[74],"automatically":[76],"determine":[77],"so":[80],"professional":[82],"expertise":[83],"on":[84],"signal":[85],"processing":[86],"not":[88],"required.":[89],"The":[90],"efficacy":[91],"of":[92,103],"methods":[95],"validated":[97],"through":[98],"experiments":[99],"with":[100],"various":[101],"types":[102],"noise.":[104]},"counts_by_year":[{"year":2026,"cited_by_count":100},{"year":2025,"cited_by_count":311},{"year":2024,"cited_by_count":320},{"year":2023,"cited_by_count":273},{"year":2022,"cited_by_count":227},{"year":2021,"cited_by_count":107},{"year":2020,"cited_by_count":21},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}
