{"id":"https://openalex.org/W4405650737","doi":"https://doi.org/10.56578/pmdf010402","title":"A Gearbox Vibration Signal Compressed Sensing Method Based on the Improved GLOW Flow Model","display_name":"A Gearbox Vibration Signal Compressed Sensing Method Based on the Improved GLOW Flow Model","publication_year":2024,"publication_date":"2024-12-20","ids":{"openalex":"https://openalex.org/W4405650737","doi":"https://doi.org/10.56578/pmdf010402"},"language":"en","primary_location":{"id":"doi:10.56578/pmdf010402","doi":"https://doi.org/10.56578/pmdf010402","is_oa":true,"landing_page_url":"https://doi.org/10.56578/pmdf010402","pdf_url":"https://library.acadlore.com/PMDF/2024/1/4/PMDF_01.04_02.pdf","source":{"id":"https://openalex.org/S4404571753","display_name":"Precision mechanics & digital fabrication.","issn_l":"3006-9734","issn":["3006-9734","3006-9742"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404571752","host_organization_name":"Ariadna Ediciones","host_organization_lineage":["https://openalex.org/P4404571752"],"host_organization_lineage_names":["Ariadna Ediciones"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Precision Mechanics & Digital Fabrication","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://library.acadlore.com/PMDF/2024/1/4/PMDF_01.04_02.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008399902","display_name":"Tichun Wang","orcid":"https://orcid.org/0000-0002-5701-2446","observed_orcids":["https://orcid.org/0000-0002-5701-2446"]},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tichun Wang","raw_affiliation_strings":["College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , 210016 Nanjing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , 210016 Nanjing , China","institution_ids":["https://openalex.org/I9842412"]}]},{"author_position":"last","author":{"id":null,"display_name":"Tian Xia","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Xia","raw_affiliation_strings":["College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , 210016 Nanjing , China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering , Nanjing University of Aeronautics and Astronautics , 210016 Nanjing , China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5008399902"],"corresponding_institution_ids":["https://openalex.org/I9842412"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15454605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":"4","first_page":"201","last_page":"215"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9023000001907349,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9023000001907349,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.09619999676942825,"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/T11210","display_name":"Mathematical Analysis and Transform Methods","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/2604","display_name":"Applied Mathematics"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"compressed sensing","score":0.9950000047683716},{"id":"https://openalex.org/keywords/sparse-representation","display_name":"sparse representation","score":0.7820000052452087},{"id":"https://openalex.org/keywords/noise-robustness","display_name":"noise robustness","score":0.7139999866485596},{"id":"https://openalex.org/keywords/signal-reconstruction","display_name":"signal reconstruction","score":0.8600000143051147}],"concepts":[{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.6354091167449951},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5970651507377625},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5801134705543518},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.5695120096206665},{"id":"https://openalex.org/C38349280","wikidata":"https://www.wikidata.org/wiki/Q1434290","display_name":"Flow (mathematics)","level":2,"score":0.47300368547439575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44311511516571045},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3695327937602997},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.3508187532424927},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.17591559886932373},{"id":"https://openalex.org/C57879066","wikidata":"https://www.wikidata.org/wiki/Q41217","display_name":"Mechanics","level":1,"score":0.12339842319488525},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09493368864059448},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.56578/pmdf010402","doi":"https://doi.org/10.56578/pmdf010402","is_oa":true,"landing_page_url":"https://doi.org/10.56578/pmdf010402","pdf_url":"https://library.acadlore.com/PMDF/2024/1/4/PMDF_01.04_02.pdf","source":{"id":"https://openalex.org/S4404571753","display_name":"Precision mechanics & digital fabrication.","issn_l":"3006-9734","issn":["3006-9734","3006-9742"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404571752","host_organization_name":"Ariadna Ediciones","host_organization_lineage":["https://openalex.org/P4404571752"],"host_organization_lineage_names":["Ariadna Ediciones"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Precision Mechanics & Digital Fabrication","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.56578/pmdf010402","doi":"https://doi.org/10.56578/pmdf010402","is_oa":true,"landing_page_url":"https://doi.org/10.56578/pmdf010402","pdf_url":"https://library.acadlore.com/PMDF/2024/1/4/PMDF_01.04_02.pdf","source":{"id":"https://openalex.org/S4404571753","display_name":"Precision mechanics & digital fabrication.","issn_l":"3006-9734","issn":["3006-9734","3006-9742"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4404571752","host_organization_name":"Ariadna Ediciones","host_organization_lineage":["https://openalex.org/P4404571752"],"host_organization_lineage_names":["Ariadna Ediciones"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Precision Mechanics & Digital Fabrication","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"display_name":"Affordable and clean energy","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405650737.pdf","grobid_xml":"https://content.openalex.org/works/W4405650737.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2158224665","https://openalex.org/W2379589510","https://openalex.org/W2810730439","https://openalex.org/W4300044672","https://openalex.org/W1881631164","https://openalex.org/W1976264255","https://openalex.org/W2358292267","https://openalex.org/W2378166785","https://openalex.org/W2537887767","https://openalex.org/W2052913792"],"abstract_inverted_index":{"In":[0],"response":[1],"to":[2],"the":[3,32,48,62,68,79,87,110,117,133],"complex":[4,121],"characteristics":[5],"of":[6,61],"gearbox":[7],"vibration":[8],"signals,":[9],"including":[10],"high":[11,13],"frequency,":[12],"dimensionality,":[14],"non-stationarity,":[15],"non-linearity,":[16],"and":[17,75,92,106,116,141],"noise":[18,114,143],"interference,":[19],"this":[20],"paper":[21],"proposes":[22],"a":[23,51,97],"data":[24],"processing":[25],"method":[26,111,135],"based":[27],"on":[28],"improved":[29],"compressed":[30,130],"sensing.First,":[31],"K-means":[33],"Singular":[34],"Value":[35],"Decomposition":[36],"(K-SVD)":[37],"dictionary":[38,90],"is":[39,57,84],"used":[40],"for":[41,101],"sparse":[42,93],"representation,":[43],"ensuring":[44],"good":[45],"sparsity":[46],"in":[47,59],"frequency":[49],"domain.Next,":[50],"random":[52,65],"convolution":[53],"kernel":[54],"measurement":[55,88],"matrix":[56,95],"employed":[58],"place":[60],"traditional":[63,129],"Gaussian":[64],"matrix,":[66,89,91],"satisfying":[67],"equidistant":[69],"constraint":[70],"while":[71],"enhancing":[72],"both":[73],"computational":[74],"hardware":[76],"implementation":[77],"efficiency.Finally,":[78],"Generative":[80],"Flow":[81],"(GLOW)":[82],"model":[83],"introduced,":[85],"incorporating":[86],"coefficient":[94],"into":[96],"unified":[98],"optimization":[99],"framework":[100],"joint":[102],"solving.Through":[103],"reversible":[104],"mapping":[105],"probabilistic":[107],"distribution":[108],"modeling,":[109],"effectively":[112],"addresses":[113],"interference":[115],"challenges":[118],"posed":[119],"by":[120],"signal":[122,138],"distributions.Experimental":[123],"results":[124],"show":[125],"that,":[126],"compared":[127],"with":[128],"sensing":[131],"methods,":[132],"proposed":[134],"offers":[136],"superior":[137],"reconstruction":[139],"quality":[140],"better":[142],"robustness.":[144]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}