{"id":"https://openalex.org/W595174522","doi":null,"title":"Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques","display_name":"Acoustic emission-based diagnostics and prognostics of slow rotating bearings using Bayesian techniques","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W595174522","mag":"595174522"},"language":"en","primary_location":{"id":"pmh:oai:repository.up.ac.za:2263/43129","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/43129","pdf_url":"https://repository.up.ac.za/bitstreams/5777553e-3877-42f9-b7de-4b3dd38c0f42/download","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://repository.up.ac.za/bitstreams/5777553e-3877-42f9-b7de-4b3dd38c0f42/download","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056069966","display_name":"Sylvester A. Aye","orcid":"https://orcid.org/0000-0003-1597-4660","observed_orcids":["https://orcid.org/0000-0003-1597-4660"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sylvester A. Aye","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1597-4660","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5056069966"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":9.999999747378752e-05,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/acoustic-emission","display_name":"acoustic emission","score":0.9559999704360962},{"id":"https://openalex.org/keywords/remaining-useful-life-prediction","display_name":"remaining useful life prediction","score":0.8889999985694885},{"id":"https://openalex.org/keywords/bayesian-regression","display_name":"Bayesian regression","score":0.6629999876022339},{"id":"https://openalex.org/keywords/gaussian-process-regression","display_name":"Gaussian process regression","score":0.9710000157356262},{"id":"https://openalex.org/keywords/gaussian-mixture-model","display_name":"Gaussian mixture model","score":0.8960000276565552},{"id":"https://openalex.org/keywords/exponentially-weighted-moving-average","display_name":"exponential moving average","score":0.972000002861023},{"id":"https://openalex.org/keywords/fault-diagnosis","display_name":"fault diagnosis","score":0.6930000185966492},{"id":"https://openalex.org/keywords/early-damage-detection","display_name":"early damage detection","score":0.8759999871253967},{"id":"https://openalex.org/keywords/variable-working-conditions","display_name":"variable operating conditions","score":0.7120000123977661},{"id":"https://openalex.org/keywords/nonlinear-feature-extraction","display_name":"nonlinear feature extraction","score":0.5479999780654907},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"condition monitoring","score":0.4180000126361847},{"id":"https://openalex.org/keywords/prognostics-and-health-management","display_name":"prognostics and health management","score":0.7820000052452087},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.6000000238418579}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9437738656997681},{"id":"https://openalex.org/C174598085","wikidata":"https://www.wikidata.org/wiki/Q746673","display_name":"Acoustic emission","level":2,"score":0.7120026350021362},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.604386568069458},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4159252941608429},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3692553639411926},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3620601296424866},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.276294469833374},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.26678013801574707},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.23205173015594482}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:repository.up.ac.za:2263/43129","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/43129","pdf_url":"https://repository.up.ac.za/bitstreams/5777553e-3877-42f9-b7de-4b3dd38c0f42/download","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},{"id":"mag:595174522","doi":null,"is_oa":false,"landing_page_url":"https://repository.up.ac.za/bitstream/2263/43129/1/Aye_Acoustic_2014.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:repository.up.ac.za:2263/43129","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2263/43129","pdf_url":"https://repository.up.ac.za/bitstreams/5777553e-3877-42f9-b7de-4b3dd38c0f42/download","source":{"id":"https://openalex.org/S4306401870","display_name":"UpSpace Institutional Repository (University of Pretoria)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I69552723","host_organization_name":"University of Pretoria","host_organization_lineage":["https://openalex.org/I69552723"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Thesis"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320692","display_name":"University of Pretoria","ror":"https://ror.org/00g0p6g84"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W595174522.pdf","grobid_xml":"https://content.openalex.org/works/W595174522.grobid-xml"},"referenced_works_count":136,"referenced_works":["https://openalex.org/W30040927","https://openalex.org/W55912154","https://openalex.org/W181015159","https://openalex.org/W610114136","https://openalex.org/W625540141","https://openalex.org/W1484550134","https://openalex.org/W1487682939","https://openalex.org/W1519307815","https://openalex.org/W1521943487","https://openalex.org/W1531774733","https://openalex.org/W1539219096","https://openalex.org/W1550570395","https://openalex.org/W1554663460","https://openalex.org/W1587559447","https://openalex.org/W1607584008","https://openalex.org/W1663973292","https://openalex.org/W1851423869","https://openalex.org/W1899936416","https://openalex.org/W1963495605","https://openalex.org/W1964810204","https://openalex.org/W1965625823","https://openalex.org/W1966293744","https://openalex.org/W1968104821","https://openalex.org/W1973917009","https://openalex.org/W1976146618","https://openalex.org/W1977002251","https://openalex.org/W1977647526","https://openalex.org/W1978453339","https://openalex.org/W1978654022","https://openalex.org/W1979195888","https://openalex.org/W1979276652","https://openalex.org/W1980331605","https://openalex.org/W1980817237","https://openalex.org/W1986397312","https://openalex.org/W1988300964","https://openalex.org/W1992113394","https://openalex.org/W1994505190","https://openalex.org/W2000774724","https://openalex.org/W2004788580","https://openalex.org/W2005305357","https://openalex.org/W2006246748","https://openalex.org/W2007655149","https://openalex.org/W2008380808","https://openalex.org/W2012369294","https://openalex.org/W2012422725","https://openalex.org/W2012468234","https://openalex.org/W2012481039","https://openalex.org/W2014827866","https://openalex.org/W2016324154","https://openalex.org/W2017588182","https://openalex.org/W2018728631","https://openalex.org/W2019449965","https://openalex.org/W2020623375","https://openalex.org/W2023672325","https://openalex.org/W2025237660","https://openalex.org/W2030704357","https://openalex.org/W2030719609","https://openalex.org/W2033800551","https://openalex.org/W2034272101","https://openalex.org/W2038546740","https://openalex.org/W2040355924","https://openalex.org/W2040726420","https://openalex.org/W2043281016","https://openalex.org/W2044309218","https://openalex.org/W2045186954","https://openalex.org/W2052184177","https://openalex.org/W2053244990","https://openalex.org/W2053681597","https://openalex.org/W2054972225","https://openalex.org/W2055849370","https://openalex.org/W2055873761","https://openalex.org/W2058418080","https://openalex.org/W2060933153","https://openalex.org/W2061645930","https://openalex.org/W2062553140","https://openalex.org/W2064323378","https://openalex.org/W2069670593","https://openalex.org/W2070254936","https://openalex.org/W2071076950","https://openalex.org/W2071293002","https://openalex.org/W2077807157","https://openalex.org/W2084205924","https://openalex.org/W2086021758","https://openalex.org/W2089731252","https://openalex.org/W2090006809","https://openalex.org/W2090373435","https://openalex.org/W2092172498","https://openalex.org/W2093566482","https://openalex.org/W2094161644","https://openalex.org/W2094570674","https://openalex.org/W2101946706","https://openalex.org/W2102599914","https://openalex.org/W2103731075","https://openalex.org/W2110007571","https://openalex.org/W2114106396","https://openalex.org/W2116651418","https://openalex.org/W2119566395","https://openalex.org/W2121247509","https://openalex.org/W2123003771","https://openalex.org/W2124609748","https://openalex.org/W2124883740","https://openalex.org/W2125307356","https://openalex.org/W2127301223","https://openalex.org/W2128221272","https://openalex.org/W2128734408","https://openalex.org/W2135449931","https://openalex.org/W2135479611","https://openalex.org/W2140095548","https://openalex.org/W2140915110","https://openalex.org/W2141188346","https://openalex.org/W2141758575","https://openalex.org/W2145759202","https://openalex.org/W2146260999","https://openalex.org/W2153667689","https://openalex.org/W2156742582","https://openalex.org/W2156951909","https://openalex.org/W2159264421","https://openalex.org/W2159381604","https://openalex.org/W2165037899","https://openalex.org/W2170912685","https://openalex.org/W2171913109","https://openalex.org/W2307774491","https://openalex.org/W2320136684","https://openalex.org/W2335059305","https://openalex.org/W2397649223","https://openalex.org/W2465315656","https://openalex.org/W2526522837","https://openalex.org/W2545804724","https://openalex.org/W2560253192","https://openalex.org/W2727300753","https://openalex.org/W2781862948","https://openalex.org/W2786774231","https://openalex.org/W2911546748","https://openalex.org/W3104887532","https://openalex.org/W3140062909","https://openalex.org/W3204909937"],"related_works":["https://openalex.org/W1507300330","https://openalex.org/W2282314838","https://openalex.org/W2542208871","https://openalex.org/W2765691677","https://openalex.org/W2588375235","https://openalex.org/W3216678969","https://openalex.org/W2609450313","https://openalex.org/W7138877528","https://openalex.org/W2809925894","https://openalex.org/W2072422172"],"abstract_inverted_index":{"Diagnostics":[0],"and":[1,19,27,43,80,97,133,191,203,213,265,301,312,327,334,396,430,443,466,496,506,511],"prognostics":[2,40],"in":[3,37,242,303,399,415],"rotating":[4,48,78,113,156,310,348],"machinery":[5],"is":[6,71,93,143,198,214,238,299,354,359,385,480,512],"a":[7,118,137,186,450],"subject":[8],"of":[9,41,53,61,68,76,106,111,136,150,178,209,234,276,306,308,344,346,392,456,459],"much":[10],"on-going":[11],"\\nresearch.":[12],"There":[13],"are":[14,33,321,330,373,438,469,487],"three":[15],"approaches":[16],"to":[17,56,72,95,162,200,314,401,427,504],"diagnostics":[18,38,149],"prognostics.":[20],"These":[21,485],"include":[22],"\\nexperience-based":[23],"approaches,":[24],"data-driven":[25,31],"techniques":[26,32],"model-based":[28],"techniques.":[29],"\\nBayesian":[30],"gaining":[34],"widespread":[35],"application":[36],"\\nand":[39,366],"mechanical":[42],"allied":[44],"systems":[45],"including":[46],"slow":[47,77,112,151,155,210,309,347,460],"bearings,":[49],"as":[50,240,248,285,375,377,410,412,494],"\\na":[51,352],"result":[52],"their":[54],"ability":[55],"handle":[57],"the":[58,62,69,104,124,134,147,176,179,207,224,232,249,266,277,280,286,289,304,319,325,342,364,388,403,407,413,416,428,433,457,464,478],"stochastic":[59],"nature":[60],"measured":[63],"data":[64,165,429],"well.":[65],"The":[66,170,236,274,292,356,382,418,498],"\\naim":[67],"study":[70],"detect":[73],"incipient":[74],"damage":[75],"bearings":[79,212,349,462],"develop":[81,98],"\\ndiagnostics":[82],"which":[83,142],"will":[84],"be":[85,201,502],"robust":[86,215,313,488],"under":[87,216,489],"changing":[88],"operating":[89,218,316,491],"conditions.":[90,169,219,317],"Further":[91],"it":[92,448],"\\nrequired":[94],"explore":[96],"an":[99,192,338,424],"optimal":[100,339,383],"prognostic":[101],"model":[102,189,298,357,422],"for":[103,123,146,205,231,271,341,361,514],"prediction":[105,233,305,343,455],"\\nremaining":[107],"useful":[108,513,564],"life":[109],"(RUL)":[110],"bearings.":[114,153],"\\nThis":[115],"research":[116],"develops":[117],"novel":[119,172,225],"integrated":[120],"nonlinear":[121,505],"method":[122],"effective":[125,202,302],"feature":[126],"\\nextraction":[127],"from":[128,332,369,387,470],"acoustic":[129,520],"emission":[130],"(AE)":[131],"signals":[132,510],"construction":[135],"degradation":[138,208,409,530],"\\nassessment":[139],"index":[140],"(DAI),":[141],"subsequently":[144],"used":[145,239],"fault":[148],"\\nrotating":[152,211,461],"A":[154],"bearing":[157,408],"test":[158,367,467],"rig":[159],"was":[160],"developed":[161],"measure":[163],"AE":[164],"\\nunder":[166],"variable":[167,217],"operational":[168],"proposed":[171],"DAI":[173,226,237,278,353],"obtained":[174,331,386],"by":[175],"\\nintegration":[177],"PKPCA":[180],"(polynomial":[181],"kernel":[182,555],"principal":[183,556],"component":[184,557],"analysis),":[185],"\\nGaussian":[187,542],"mixture":[188,262,540,543],"(GMM)":[190],"exponentially":[193,535],"weighted":[194,536],"moving":[195,537],"average":[196],"\\n(EWMA)":[197],"shown":[199],"suitable":[204,300],"monitoring":[206],"Furthermore,":[220],"this":[221],"\\nstudy":[222],"integrates":[223],"into":[227],"alternative":[228],"Bayesian":[229,244,257,522,525],"methods":[230],"\\nRUL.":[235],"input":[241],"several":[243],"regression":[245,259,263,269],"models":[246,320,436],"such":[247,493],"multi-layer":[250,552],"perceptron":[251],"(MLP),":[252],"radial":[253,560],"basis":[254,561],"function":[255],"(RBF),":[256],"linear":[258,523],"\\n(BLR),":[260],"Gaussian":[261,267,539,545],"(GMR)":[264],"process":[268,546],"\\n(GPR)":[270],"RUL":[272,307,345,458],"prediction.":[273,291],"combination":[275,391],"with":[279],"GPR":[281,297,340,384,421,435],"model,":[282,541],"\\notherwise,":[283],"known":[284],"DAI-GPR":[287],"gives":[288],"best":[290],"findings":[293],"show":[294],"that":[295,437],"\\nthe":[296],"\\nbearings":[311],"varying":[315,490],"Further,":[318],"also":[322],"\\nrobust":[323],"when":[324,378,463,477],"training":[326,365,465],"tests":[328],"sets":[329,468],"dependent":[333,374,471],"independent":[335,483],"\\nsamples.":[336],"\\nFinally,":[337],"based":[350,439,481],"on":[351,440,482],"developed.":[355],"performance":[358],"evaluated":[360],"cases":[362],"where":[363],"samples":[368,472],"cross":[370],"validation":[371],"approach":[372],"well":[376,411],"they":[379],"\\nare":[380],"independent.":[381],"integration":[389],"or":[390],"\\nexisting":[393],"simple":[394,441],"mean":[395,442,549],"covariance":[397,444],"functions":[398],"order":[400],"capture":[402],"observed":[404],"trend":[405],"\\nof":[406],"irregularities":[414],"data.":[417],"resulting":[419],"\\nintegrated":[420],"provides":[423],"excellent":[425],"fit":[426],"improvements":[431],"over":[432],"\\nsimple":[434],"functions.":[445],"In":[446],"\\naddition,":[447],"achieves":[449],"near":[451],"zero":[452],"percentage":[453],"error":[454],"but":[473],"\\nslightly":[474],"different":[475],"values":[476],"estimation":[479],"samples.":[484],"\\nfindings":[486],"conditions":[492],"loading":[495],"speed.":[497],"\\nproposed":[499],"methodology":[500],"can":[501],"applied":[503],"non-stationary":[507],"machine":[508,516],"\\nresponse":[509],"preventive":[515],"maintenance":[517],"purposes.":[518],"\\nKeywords:":[519],"emission,":[521],"regression,":[524,544,547],"techniques,":[526],"\\ncovariance":[527],"function,":[528,550,562],"data-driven,":[529],"assessment":[531],"index,":[532],"diagnostics,":[533],"\\nexperience-based,":[534],"average,":[538],"integration,":[548],"\\nmodel-based,":[551],"perceptron,":[553],"polynomial":[554],"\\nanalysis,":[558],"prognostics,":[559],"remaining":[563],"life.":[565]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}