{"id":"https://openalex.org/W3208163071","doi":"https://doi.org/10.1109/iicaiet51634.2021.9573654","title":"Engine Fault Diagnosis using Probabilistic Neural Network","display_name":"Engine Fault Diagnosis using Probabilistic Neural Network","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3208163071","doi":"https://doi.org/10.1109/iicaiet51634.2021.9573654","mag":"3208163071"},"language":"en","primary_location":{"id":"doi:10.1109/iicaiet51634.2021.9573654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet51634.2021.9573654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5101555364","display_name":"Sheng Zhu","orcid":"https://orcid.org/0000-0002-1892-9198"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]},{"id":"https://openalex.org/I4210128208","display_name":"Tongren University","ror":"https://ror.org/035hxad97","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210128208"]}],"countries":["CN","MY"],"is_corresponding":false,"raw_author_name":"Sheng Zhu","raw_affiliation_strings":["College of Engineering, Tongren Polytechnic College, Tong Ren, China","Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering, Tongren Polytechnic College, Tong Ren, China","institution_ids":["https://openalex.org/I4210128208"]},{"raw_affiliation_string":"Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043393709","display_name":"Min Keng Tan","orcid":"https://orcid.org/0000-0003-4420-186X"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Min Keng Tan","raw_affiliation_strings":["Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076640994","display_name":"Renee Ka Yin Chin","orcid":"https://orcid.org/0000-0002-9992-5593"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Renee Ka Yin Chin","raw_affiliation_strings":["Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037586257","display_name":"Bih Lii Chua","orcid":"https://orcid.org/0000-0003-0134-2611"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Bih Lii Chua","raw_affiliation_strings":["Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025375637","display_name":"Xiaoxi Hao","orcid":"https://orcid.org/0000-0003-1113-3979"},"institutions":[{"id":"https://openalex.org/I4210151615","display_name":"Wuyi University","ror":"https://ror.org/0488wz367","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210151615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxi Hao","raw_affiliation_strings":["Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Intelligent Manufacturing, Wuyi University, Jiangmen, China","institution_ids":["https://openalex.org/I4210151615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068600158","display_name":"Kenneth Tze Kin Teo","orcid":"https://orcid.org/0000-0001-9112-7194"},"institutions":[{"id":"https://openalex.org/I161371597","display_name":"Universiti of Malaysia Sabah","ror":"https://ror.org/040v70252","country_code":"MY","type":"education","lineage":["https://openalex.org/I161371597"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Kenneth Tze Kin Teo","raw_affiliation_strings":["Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Modelling, Simulation & Computing Laboratory, Universiti Malaysia Sabah, Kota Kinabalu, Malaysia","institution_ids":["https://openalex.org/I161371597"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.9801999926567078,"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":0.9749000072479248,"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/fault","display_name":"Fault (geology)","score":0.6574862599372864},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5657097101211548},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5450068712234497},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4590297043323517},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4472353756427765},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4425428509712219},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.4168645739555359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3758465051651001},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34980425238609314},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.20876669883728027}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6574862599372864},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5657097101211548},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5450068712234497},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4590297043323517},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4472353756427765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4425428509712219},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.4168645739555359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3758465051651001},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34980425238609314},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.20876669883728027},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iicaiet51634.2021.9573654","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iicaiet51634.2021.9573654","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323704","display_name":"Universiti Malaysia Sabah","ror":"https://ror.org/040v70252"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W287141512","https://openalex.org/W1964168965","https://openalex.org/W2034652182","https://openalex.org/W2094409800","https://openalex.org/W2121337044","https://openalex.org/W2171588047","https://openalex.org/W2237654220","https://openalex.org/W2302383164","https://openalex.org/W2351296153","https://openalex.org/W2369061829","https://openalex.org/W2372248218","https://openalex.org/W2376491045","https://openalex.org/W2393396277","https://openalex.org/W2552455791","https://openalex.org/W2770357778","https://openalex.org/W2783938798","https://openalex.org/W2791694051","https://openalex.org/W2803094129","https://openalex.org/W2803185687","https://openalex.org/W2896830844","https://openalex.org/W2960047328","https://openalex.org/W2978303030","https://openalex.org/W3016693224","https://openalex.org/W3101949476","https://openalex.org/W3161061273","https://openalex.org/W3209029812","https://openalex.org/W6982637831"],"related_works":["https://openalex.org/W1975643538","https://openalex.org/W2381770184","https://openalex.org/W2379440846","https://openalex.org/W2355754418","https://openalex.org/W2374528926","https://openalex.org/W2364577250","https://openalex.org/W2949085635","https://openalex.org/W4298193105","https://openalex.org/W992356891","https://openalex.org/W1533476743"],"abstract_inverted_index":{"Engine":[0],"failure":[1],"is":[2,26,56,65,113,129,141,180],"one":[3],"of":[4,41,89,127,147],"the":[5,12,15,24,39,75,116,124,133,145,148,156,174,177],"major":[6],"factors":[7],"caused":[8],"vehicle":[9],"breakdown.":[10],"In":[11],"current":[13],"practice,":[14],"engine":[16,53,71,118,149],"faults":[17,72],"are":[18],"diagnosed":[19],"manually":[20],"by":[21],"mechanics":[22],"and":[23,58,103,123,165,176],"accuracy":[25,164,179],"highly":[27],"relied":[28],"on":[29,74,132],"their":[30],"experience.":[31],"Therefore,":[32],"this":[33],"study":[34],"would":[35],"like":[36],"to":[37,67],"explore":[38],"feasibility":[40],"implementing":[42],"auto":[43],"fault":[44,54,119,175],"diagnosis":[45,161],"using":[46,115],"Probabilistic":[47],"Neural":[48],"Network":[49],"(PNN).":[50],"A":[51],"benchmarked":[52],"model":[55],"developed":[57],"simulated":[59,152],"in":[60,172],"Maltab.":[61],"The":[62,110,151,167],"proposed":[63,111,157],"algorithm":[64,158,168],"designed":[66],"detect":[68],"9":[69],"common":[70],"based":[73,131],"information":[76],"extracted":[77],"from":[78,121],"exhaust":[79],"gas,":[80],"such":[81],"as":[82],"hydrocarbon":[83],"(HC),":[84],"carbon":[85,96],"monoxide":[86],"(CO),":[87],"oxides":[88],"nitrogen":[90],"(NO":[91],"<inf":[92,99,106],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[93,100,107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">x</inf>":[94],"),":[95],"dioxide":[97],"(CO":[98],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</inf>":[101,108],")":[102],"dioxygen":[104],"(O":[105],").":[109],"PNN":[112,128],"trained":[114],"collected":[117],"data":[120],"experiment":[122],"probability":[125],"density":[126],"determined":[130],"Parzen":[134],"window":[135],"estimation":[136],"method.":[137],"Bayes":[138],"decision":[139],"rule":[140],"implemented":[142],"for":[143],"classifying":[144],"types":[146],"faults.":[150],"results":[153],"show":[154],"that":[155],"has":[159],"faster":[160],"speed,":[162],"higher":[163],"consistent.":[166],"takes":[169],"0.038":[170],"s":[171],"diagnosing":[173],"average":[178],"98.3":[181],"%.":[182]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
