{"id":"https://openalex.org/W4378588777","doi":"https://doi.org/10.3390/s23115137","title":"Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis","display_name":"Bayesian-Optimized Hybrid Kernel SVM for Rolling Bearing Fault Diagnosis","publication_year":2023,"publication_date":"2023-05-28","ids":{"openalex":"https://openalex.org/W4378588777","doi":"https://doi.org/10.3390/s23115137","pmid":"https://pubmed.ncbi.nlm.nih.gov/37299863"},"language":"en","primary_location":{"id":"doi:10.3390/s23115137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23115137","pdf_url":"https://www.mdpi.com/1424-8220/23/11/5137/pdf?version=1685256084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1424-8220/23/11/5137/pdf?version=1685256084","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100863676","display_name":"Xinmin Song","orcid":null},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinmin Song","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, Nanjing 210031, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, Nanjing 210031, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017961670","display_name":"Weihua Wei","orcid":"https://orcid.org/0000-0001-5333-4707"},"institutions":[{"id":"https://openalex.org/I167027274","display_name":"Nanjing Forestry University","ror":"https://ror.org/03m96p165","country_code":"CN","type":"education","lineage":["https://openalex.org/I167027274"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Wei","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, China","institution_ids":["https://openalex.org/I167027274"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100663156","display_name":"Junbo Zhou","orcid":"https://orcid.org/0009-0007-5154-1893"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junbo Zhou","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, Nanjing 210031, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, Nanjing 210031, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038403830","display_name":"Guojun Ji","orcid":"https://orcid.org/0000-0002-5019-4849"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guojun Ji","raw_affiliation_strings":["Essen Agricultural Machinery Changzhou Co., Ltd., Changzhou 213000, China"],"affiliations":[{"raw_affiliation_string":"Essen Agricultural Machinery Changzhou Co., Ltd., Changzhou 213000, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002240908","display_name":"Ghulam Hussain","orcid":"https://orcid.org/0000-0002-9642-0303"},"institutions":[{"id":"https://openalex.org/I5400463","display_name":"Ghulam Ishaq Khan Institute of Engineering Sciences and Technology","ror":"https://ror.org/01sb6ek09","country_code":"PK","type":"education","lineage":["https://openalex.org/I5400463"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ghulam Hussain","raw_affiliation_strings":["Faculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, Topi 23460, Pakistan"],"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences & Technology, Topi 23460, Pakistan","institution_ids":["https://openalex.org/I5400463"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009459376","display_name":"Maohua Xiao","orcid":"https://orcid.org/0000-0001-5213-1035"},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Maohua Xiao","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, Nanjing 210031, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, Nanjing 210031, China","institution_ids":["https://openalex.org/I119454577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101027093","display_name":"Guosheng Geng","orcid":null},"institutions":[{"id":"https://openalex.org/I119454577","display_name":"Nanjing Agricultural University","ror":"https://ror.org/05td3s095","country_code":"CN","type":"education","lineage":["https://openalex.org/I119454577"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Guosheng Geng","raw_affiliation_strings":["College of Engineering, Nanjing Agricultural University, Nanjing 210031, China"],"affiliations":[{"raw_affiliation_string":"College of Engineering, Nanjing Agricultural University, Nanjing 210031, China","institution_ids":["https://openalex.org/I119454577"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5009459376","https://openalex.org/A5101027093"],"corresponding_institution_ids":["https://openalex.org/I119454577"],"apc_list":{"value":2400,"currency":"CHF","value_usd":2598},"apc_paid":{"value":2400,"currency":"CHF","value_usd":2598},"fwci":7.3797,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.9783778,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"23","issue":"11","first_page":"5137","last_page":"5137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.996999979019165,"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":0.996999979019165,"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":0.993399977684021,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9835000038146973,"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/support-vector-machine","display_name":"Support vector machine","score":0.8043339252471924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.610114574432373},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.6057361960411072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5699096918106079},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4757932424545288},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.47390520572662354},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4655011296272278},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.43380531668663025},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.41632962226867676},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35914289951324463},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3510344624519348},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.2767808139324188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23598363995552063}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8043339252471924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.610114574432373},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.6057361960411072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5699096918106079},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4757932424545288},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.47390520572662354},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4655011296272278},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.43380531668663025},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.41632962226867676},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35914289951324463},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3510344624519348},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.2767808139324188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23598363995552063},{"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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007753","descriptor_name":"Laboratories","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014732","descriptor_name":"Vibration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.3390/s23115137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23115137","pdf_url":"https://www.mdpi.com/1424-8220/23/11/5137/pdf?version=1685256084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},{"id":"pmid:37299863","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37299863","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Sensors (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10255357","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10255357","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10255357/pdf/sensors-23-05137.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:100348d080eb48c49ccea22c6ca2cbc8","is_oa":true,"landing_page_url":"https://doaj.org/article/100348d080eb48c49ccea22c6ca2cbc8","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors, Vol 23, Iss 11, p 5137 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1424-8220/23/11/5137/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/s23115137","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Sensors; Volume 23; Issue 11; Pages: 5137","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/s23115137","is_oa":true,"landing_page_url":"https://doi.org/10.3390/s23115137","pdf_url":"https://www.mdpi.com/1424-8220/23/11/5137/pdf?version=1685256084","source":{"id":"https://openalex.org/S101949793","display_name":"Sensors","issn_l":"1424-8220","issn":["1424-8220"],"is_oa":true,"is_in_doaj":true,"is_core":true,"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":"Sensors","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2195565991","display_name":null,"funder_award_id":"2022YFD","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4345091856","display_name":null,"funder_award_id":"2022YFD2001805","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8676609639","display_name":null,"funder_award_id":"Jiangsu","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321605","display_name":"Government of Jiangsu Province","ror":"https://ror.org/004svx814"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378588777.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W277331452","https://openalex.org/W601580739","https://openalex.org/W1534872837","https://openalex.org/W1646795987","https://openalex.org/W1798702550","https://openalex.org/W1988824261","https://openalex.org/W2081911755","https://openalex.org/W2134925510","https://openalex.org/W2140869420","https://openalex.org/W2192203593","https://openalex.org/W2488630904","https://openalex.org/W2612303397","https://openalex.org/W2744909235","https://openalex.org/W2811139933","https://openalex.org/W2911612324","https://openalex.org/W3025026054","https://openalex.org/W3093592106","https://openalex.org/W3113920871","https://openalex.org/W3117055840","https://openalex.org/W3126242280","https://openalex.org/W3131578508","https://openalex.org/W3134412914","https://openalex.org/W3158937816","https://openalex.org/W3170626128","https://openalex.org/W3175577373","https://openalex.org/W3187057914","https://openalex.org/W3207382953","https://openalex.org/W3212779708","https://openalex.org/W4205244318","https://openalex.org/W4223905526","https://openalex.org/W4286206470","https://openalex.org/W4288741545","https://openalex.org/W4292962402","https://openalex.org/W4296312059","https://openalex.org/W4310074540","https://openalex.org/W4313201372","https://openalex.org/W4313406541","https://openalex.org/W4313442565","https://openalex.org/W4313594416","https://openalex.org/W4321486862","https://openalex.org/W6671509594","https://openalex.org/W6848433100"],"related_works":["https://openalex.org/W2345184372","https://openalex.org/W3013515612","https://openalex.org/W2187500075","https://openalex.org/W2041399278","https://openalex.org/W2336974148","https://openalex.org/W2056016498","https://openalex.org/W3195168932","https://openalex.org/W2389470892","https://openalex.org/W1996541855","https://openalex.org/W2136184105"],"abstract_inverted_index":{"We":[0,117,154],"propose":[1],"a":[2,12,86,91],"new":[3],"fault":[4,54,78,176,278],"diagnosis":[5,177,279],"model":[6,24,159,211],"for":[7,77,122,150,226,277],"rolling":[8,281],"bearings":[9],"based":[10],"on":[11],"hybrid":[13,87,208,253],"kernel":[14,88,93,98,209,254],"support":[15],"vector":[16],"machine":[17],"(SVM)":[18],"and":[19,40,60,71,95,112,131,196,237,258,271],"Bayesian":[20],"optimization":[21],"(BO).":[22],"The":[23,62,137,170,243],"uses":[25],"discrete":[26],"Fourier":[27],"transform":[28],"(DFT)":[29],"to":[30,103,142,183],"extract":[31],"fifteen":[32],"features":[33],"from":[34,181],"vibration":[35,191],"signals":[36],"in":[37,234,280],"the":[38,50,82,105,109,123,144,156,161,165,175,187,194,197,213,229,235,238,248,251,259,269],"time":[39],"frequency":[41],"domains":[42],"of":[43,52,108,127,164,190,223,228,250,261,273],"four":[44,230],"bearing":[45,162],"failure":[46,231],"forms,":[47],"which":[48,146],"addresses":[49],"issue":[51],"ambiguous":[53],"identification":[55],"caused":[56],"by":[57],"their":[58,114],"nonlinearity":[59],"nonstationarity.":[61],"extracted":[63],"feature":[64],"vectors":[65],"are":[66,140],"then":[67,148],"divided":[68],"into":[69,193],"training":[70,130],"test":[72,132],"sets":[73,222],"as":[74,134],"SVM":[75,89,210,255],"inputs":[76],"diagnosis.":[79],"To":[80],"optimize":[81,104],"SVM,":[83,145,195],"we":[84,219],"construct":[85],"using":[90,129,160],"polynomial":[92],"function":[94,111,121],"radial":[96],"basis":[97],"function.":[99],"BO":[100,128],"is":[101,147,179,199],"used":[102,141],"extreme":[106],"values":[107,225],"objective":[110,120],"determine":[113],"weight":[115],"coefficients.":[116],"create":[118],"an":[119],"Gaussian":[124],"regression":[125],"process":[126,240],"data":[133],"inputs,":[135],"respectively.":[136],"optimized":[138],"parameters":[139],"rebuild":[143],"trained":[149],"network":[151],"classification":[152],"prediction.":[153],"tested":[155],"proposed":[157,275],"diagnostic":[158,204],"dataset":[163],"Case":[166],"Western":[167],"Reserve":[168],"University.":[169],"verification":[171,239],"results":[172,245,267],"show":[173],"that":[174,247],"accuracy":[178,249,260],"improved":[180],"85%":[182],"100%":[184],"compared":[185],"with":[186,202],"direct":[188],"input":[189],"signal":[192],"effect":[198],"significant.":[200],"Compared":[201],"other":[203],"models,":[205],"our":[206,274],"Bayesian-optimized":[207,252],"has":[212],"highest":[214],"accuracy.":[215],"In":[216],"laboratory":[217],"verification,":[218],"took":[220],"sixty":[221],"sample":[224],"each":[227],"forms":[232],"measured":[233],"experiment,":[236],"was":[241],"repeated.":[242],"experimental":[244],"showed":[246],"reached":[256,264],"100%,":[257],"five":[262],"replicates":[263],"96.7%.":[265],"These":[266],"demonstrate":[268],"feasibility":[270],"superiority":[272],"method":[276],"bearings.":[282]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":6}],"updated_date":"2026-03-23T07:41:27.035349","created_date":"2025-10-10T00:00:00"}