{"id":"https://openalex.org/W4392543454","doi":"https://doi.org/10.1109/tii.2024.3366980","title":"Improved Group Sparse Modal Decomposition Methods With Applications to Fault Diagnosis of Rotating Machinery","display_name":"Improved Group Sparse Modal Decomposition Methods With Applications to Fault Diagnosis of Rotating Machinery","publication_year":2024,"publication_date":"2024-03-07","ids":{"openalex":"https://openalex.org/W4392543454","doi":"https://doi.org/10.1109/tii.2024.3366980"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2024.3366980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3366980","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/A5100617027","display_name":"Yueyang Li","orcid":"https://orcid.org/0000-0002-1614-0302"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueyang Li","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108906495","display_name":"Jialian Wu","orcid":"https://orcid.org/0009-0006-5004-4011"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jialian Wu","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042609297","display_name":"Gang Yu","orcid":"https://orcid.org/0000-0002-8301-7371"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Yu","raw_affiliation_strings":["School of Electrical Engineering, University of Jinan, Jinan, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, University of Jinan, Jinan, China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058802953","display_name":"Dong Zhao","orcid":"https://orcid.org/0000-0002-2011-0579"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhao","raw_affiliation_strings":["School of Cyber Science and Technology, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Cyber Science and Technology, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100617027"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":2.562,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88728088,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"20","issue":"6","first_page":"8102","last_page":"8114"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9876000285148621,"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9876000285148621,"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/T13644","display_name":"Control Systems in Engineering","score":0.9772999882698059,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9768000245094299,"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/modal","display_name":"Modal","score":0.6174054145812988},{"id":"https://openalex.org/keywords/decomposition","display_name":"Decomposition","score":0.5187438130378723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5172163248062134},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.45862382650375366},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.4384240508079529},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.18220317363739014},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.139475017786026},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08640989661216736},{"id":"https://openalex.org/keywords/eigenvalues-and-eigenvectors","display_name":"Eigenvalues and eigenvectors","score":0.08135080337524414}],"concepts":[{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6174054145812988},{"id":"https://openalex.org/C124681953","wikidata":"https://www.wikidata.org/wiki/Q339062","display_name":"Decomposition","level":2,"score":0.5187438130378723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5172163248062134},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.45862382650375366},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.4384240508079529},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.18220317363739014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.139475017786026},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08640989661216736},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.08135080337524414},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2024.3366980","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2024.3366980","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/G2178796940","display_name":null,"funder_award_id":"4232047","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G364470088","display_name":null,"funder_award_id":"62273021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7920016323","display_name":null,"funder_award_id":"61973135","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8776614245","display_name":null,"funder_award_id":"62271230","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"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1845002809","https://openalex.org/W1975514583","https://openalex.org/W1976018698","https://openalex.org/W1984672166","https://openalex.org/W2000982976","https://openalex.org/W2005478193","https://openalex.org/W2007221293","https://openalex.org/W2080563952","https://openalex.org/W2101634037","https://openalex.org/W2104816088","https://openalex.org/W2147646644","https://openalex.org/W2606694816","https://openalex.org/W2916320715","https://openalex.org/W3011262627","https://openalex.org/W3020865293","https://openalex.org/W3102958574","https://openalex.org/W3215533741","https://openalex.org/W4200311860","https://openalex.org/W4221011696","https://openalex.org/W4226173056","https://openalex.org/W4296833380","https://openalex.org/W4320912897","https://openalex.org/W4361294787","https://openalex.org/W4383502931","https://openalex.org/W4386041382"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Group-sparse":[0],"mode":[1,51,59],"decomposition":[2,8,52,60],"(GSMD)":[3],"is":[4],"an":[5,66],"efficient":[6],"signal":[7],"algorithm":[9,32],"for":[10,19],"separating":[11],"harmonic":[12],"signals,":[13,38],"but":[14],"fails":[15],"to":[16,25,72,100,113,124,186],"split":[17],"modes":[18],"periodic":[20,36,136],"pulse":[21,37,137],"signals.":[22],"In":[23,156],"order":[24],"address":[26],"the":[27,30,74,79,102,115,122,126,132,147,158,173,178],"limitations":[28],"of":[29,134,146,149,177,189],"GSMD":[31,44,140],"in":[33,139,152],"dealing":[34],"with":[35],"this":[39],"study":[40],"proposes":[41],"two":[42],"improved":[43],"methods,":[45,180],"namely":[46],"adaptive":[47,55],"adjusted":[48],"bandwidth":[49,89],"sparse":[50,58],"(AABSMD)":[53],"and":[54,77,105,141,165,169,175],"Gaussian":[56,108,127],"window":[57,109],"(AGWSMD).":[61],"The":[62,91],"AABSMD":[63],"method":[64,93,99,160],"utilizes":[65,106],"iterative":[67],"least-squares":[68],"curve":[69],"fitting":[70],"approach":[71],"plot":[73],"energy":[75,103,119],"spectrum":[76,104],"adjusts":[78],"filter":[80,112],"using":[81],"a":[82,95,107,111,153],"\u20133":[83],"dB":[84],"bandwidth,":[85],"which":[86,117,181],"avoids":[87],"unreasonable":[88],"estimation.":[90],"AGWSMD":[92,159],"employs":[94],"segmented":[96],"quantile":[97],"regression":[98],"fit":[101],"as":[110,121],"extract":[114],"signal,":[116],"selects":[118],"entropy":[120],"parameter":[123],"optimize":[125],"function.":[128],"Both":[129],"methods":[130],"overcome":[131],"defects":[133],"splitting":[135],"signals":[138],"provide":[142],"more":[143],"accurate":[144],"determination":[145],"number":[148],"modes,":[150],"resulting":[151],"well-performed":[154],"decomposition.":[155],"addition,":[157],"exhibits":[161],"outstanding":[162],"reconstructive":[163],"performance":[164],"high":[166],"efficiency.":[167],"Numerical":[168],"experimental":[170],"results":[171],"indicate":[172],"effectiveness":[174],"superiority":[176],"proposed":[179],"can":[182],"be":[183],"successfully":[184],"applied":[185],"fault":[187],"diagnosis":[188],"rotating":[190],"machineries.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
