{"id":"https://openalex.org/W2586090183","doi":"https://doi.org/10.3390/app7020158","title":"Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning","display_name":"Fault Diagnosis of Roller Bearings Based on a Wavelet Neural Network and Manifold Learning","publication_year":2017,"publication_date":"2017-02-08","ids":{"openalex":"https://openalex.org/W2586090183","doi":"https://doi.org/10.3390/app7020158","mag":"2586090183"},"language":"en","primary_location":{"id":"doi:10.3390/app7020158","doi":"https://doi.org/10.3390/app7020158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app7020158","pdf_url":"https://www.mdpi.com/2076-3417/7/2/158/pdf?version=1487040852","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2076-3417/7/2/158/pdf?version=1487040852","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101892410","display_name":"Lifeng Wu","orcid":"https://orcid.org/0000-0002-5238-8823","observed_orcids":["https://orcid.org/0000-0002-5238-8823","https://orcid.org/0009-0008-9171-5381"]},"institutions":[{"id":"https://openalex.org/I4405270084","display_name":"Beijing Advanced Innovation Center for Imaging Technology","ror":"https://ror.org/0023y2x32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270084"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lifeng Wu","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","College of Information Engineering, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I4405270084","https://openalex.org/I96852419"]},{"raw_affiliation_string":"Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034070359","display_name":"Beibei Yao","orcid":"https://orcid.org/0000-0001-8382-3042","observed_orcids":["https://orcid.org/0000-0001-8382-3042"]},"institutions":[{"id":"https://openalex.org/I4405270084","display_name":"Beijing Advanced Innovation Center for Imaging Technology","ror":"https://ror.org/0023y2x32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270084"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Beibei Yao","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","College of Information Engineering, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I4405270084","https://openalex.org/I96852419"]},{"raw_affiliation_string":"Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105024332","display_name":"Zhen Peng","orcid":"https://orcid.org/0000-0001-5639-5839","observed_orcids":["https://orcid.org/0000-0001-5639-5839"]},"institutions":[{"id":"https://openalex.org/I130541836","display_name":"Beijing Institute of Petrochemical Technology","ror":"https://ror.org/025s55q11","country_code":"CN","type":"education","lineage":["https://openalex.org/I130541836"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Peng","raw_affiliation_strings":["Information Management Department, Beijing Institute of Petrochemical Technology, Beijing 102617, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Management Department, Beijing Institute of Petrochemical Technology, Beijing 102617, Beijing, China","institution_ids":["https://openalex.org/I130541836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087366755","display_name":"Yong Guan","orcid":"https://orcid.org/0000-0002-2373-2779","observed_orcids":["https://orcid.org/0000-0002-2373-2779"]},"institutions":[{"id":"https://openalex.org/I4405270084","display_name":"Beijing Advanced Innovation Center for Imaging Technology","ror":"https://ror.org/0023y2x32","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4405270084"]},{"id":"https://openalex.org/I96852419","display_name":"Capital Normal University","ror":"https://ror.org/005edt527","country_code":"CN","type":"education","lineage":["https://openalex.org/I96852419"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yong Guan","raw_affiliation_strings":["Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","College of Information Engineering, Capital Normal University, Beijing 100048, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Advanced Innovation Center for Imaging Technology, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I4405270084","https://openalex.org/I96852419"]},{"raw_affiliation_string":"Beijing Engineering Research Center of Highly Reliable Embedded Systems, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]},{"raw_affiliation_string":"College of Information Engineering, Capital Normal University, Beijing 100048, China","institution_ids":["https://openalex.org/I96852419"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5087366755"],"corresponding_institution_ids":["https://openalex.org/I4405270084","https://openalex.org/I96852419"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2896},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2896},"fwci":2.484,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.88462124,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"7","issue":"2","first_page":"158","last_page":"158"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":1.0,"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":1.0,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.0,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/rolling-bearing-fault-diagnosis","display_name":"rolling bearing fault diagnosis","score":0.9629999995231628},{"id":"https://openalex.org/keywords/wavelet-neural-network","display_name":"wavelet neural network","score":0.9980000257492065},{"id":"https://openalex.org/keywords/manifold-learning","display_name":"manifold learning","score":0.9990000128746033},{"id":"https://openalex.org/keywords/laplacian-eigenmaps","display_name":"Laplacian eigenmaps","score":0.859000027179718},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"dimensionality reduction","score":0.9679999947547913},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"feature extraction","score":0.7760000228881836}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6126779317855835},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5912524461746216},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5730513334274292},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5573293566703796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5471335053443909},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5457155704498291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5132874846458435},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.49695733189582825},{"id":"https://openalex.org/C151876577","wikidata":"https://www.wikidata.org/wiki/Q7049464","display_name":"Nonlinear dimensionality reduction","level":3,"score":0.4911462962627411},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.4553010165691376},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4134979844093323},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3716333508491516},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2913597822189331},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1250123381614685},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.09043699502944946},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.06597632169723511},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/app7020158","doi":"https://doi.org/10.3390/app7020158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app7020158","pdf_url":"https://www.mdpi.com/2076-3417/7/2/158/pdf?version=1487040852","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:fda1ca6ffbb5474fa41abcb1fc75311c","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/fda1ca6ffbb5474fa41abcb1fc75311c","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Sciences, Vol 7, Iss 2, p 158 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/app7020158","doi":"https://doi.org/10.3390/app7020158","is_oa":true,"landing_page_url":"https://doi.org/10.3390/app7020158","pdf_url":"https://www.mdpi.com/2076-3417/7/2/158/pdf?version=1487040852","source":{"id":"https://openalex.org/S4210205812","display_name":"Applied Sciences","issn_l":"2076-3417","issn":["2076-3417"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-class-a","anvur-scientific","cwts-core","doaj","norway-1","oarl","poland-100","russia-white-list-2","vabb-shw"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Sciences","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2586090183.pdf","grobid_xml":"https://content.openalex.org/works/W2586090183.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1454493499","https://openalex.org/W1558814339","https://openalex.org/W1986935961","https://openalex.org/W2001141328","https://openalex.org/W2004039783","https://openalex.org/W2019505419","https://openalex.org/W2053186076","https://openalex.org/W2097308346","https://openalex.org/W2149544245","https://openalex.org/W2170614103","https://openalex.org/W2232253282","https://openalex.org/W2277064738","https://openalex.org/W2293747114","https://openalex.org/W2312336770","https://openalex.org/W2378871269","https://openalex.org/W2393453330"],"related_works":["https://openalex.org/W2008501291","https://openalex.org/W3148613728","https://openalex.org/W2019406426","https://openalex.org/W2372378229","https://openalex.org/W2353293760","https://openalex.org/W2356944436","https://openalex.org/W2349329090","https://openalex.org/W2350641862","https://openalex.org/W2375424789","https://openalex.org/W2379544740"],"abstract_inverted_index":{"In":[0,88],"order":[1],"to":[2,55],"improve":[3],"the":[4,7,57,60,69,76,84,89,100,105],"accuracy":[5,103],"of":[6,10,18,59,86,92,104],"fault":[8,19],"diagnosis":[9,20],"roller":[11,97],"bearings,":[12],"this":[13],"paper":[14],"proposes":[15],"a":[16,28,33,41],"kind":[17],"algorithm":[21,52],"based":[22],"on":[23,96],"manifold":[24],"learning":[25],"combined":[26],"with":[27],"wavelet":[29,78],"neural":[30,79],"network.":[31],"First,":[32],"high-dimensional":[34],"feature":[35,43],"signal":[36,72],"set":[37],"is":[38,53,73,83],"obtained":[39],"using":[40],"conventional":[42],"extraction":[44],"algorithm;":[45],"second,":[46],"an":[47,64],"improved":[48],"Laplacian":[49],"characteristic":[50,66,71],"mapping":[51],"proposed":[54],"reduce":[56],"dimensions":[58],"characteristics":[61],"and":[62,102],"obtain":[63],"effective":[65],"signal.":[67],"Finally,":[68],"processed":[70],"inputted":[74],"into":[75],"constructed":[77],"network":[80],"whose":[81],"output":[82],"types":[85],"fault.":[87],"actual":[90],"experiment":[91],"recognizing":[93],"data":[94],"sets":[95],"bearing":[98],"failures,":[99],"validity":[101],"method":[106],"for":[107],"diagnosing":[108],"faults":[109],"was":[110],"verified.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":2}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2017-02-17T00:00:00"}