{"id":"https://openalex.org/W7127942390","doi":"https://doi.org/10.1109/iccma67641.2025.11369662","title":"Neural Network-Based Fault Severity Prediction in Rotating Machinery: A Compound Dataset of Unbalanced Rotor and Misalignment","display_name":"Neural Network-Based Fault Severity Prediction in Rotating Machinery: A Compound Dataset of Unbalanced Rotor and Misalignment","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7127942390","doi":"https://doi.org/10.1109/iccma67641.2025.11369662"},"language":null,"primary_location":{"id":"doi:10.1109/iccma67641.2025.11369662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma67641.2025.11369662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Control, Mechatronics and Automation (ICCMA)","raw_type":"proceedings-article"},"type":"article","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/A5125112817","display_name":"Krittin Kulrattanaruks","orcid":null},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Krittin Kulrattanaruks","raw_affiliation_strings":["National Electronics and Computer Technology Center,Center for Cyber-Physical Systems,Thailand"],"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center,Center for Cyber-Physical Systems,Thailand","institution_ids":["https://openalex.org/I14316845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030817847","display_name":"Aimaschana Niruntasukrat","orcid":null},"institutions":[{"id":"https://openalex.org/I14316845","display_name":"National Electronics and Computer Technology Center","ror":"https://ror.org/04z82ry91","country_code":"TH","type":"government","lineage":["https://openalex.org/I1332092204","https://openalex.org/I14316845"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Aimaschana Niruntasukrat","raw_affiliation_strings":["National Electronics and Computer Technology Center,Center for Cyber-Physical Systems,Thailand"],"affiliations":[{"raw_affiliation_string":"National Electronics and Computer Technology Center,Center for Cyber-Physical Systems,Thailand","institution_ids":["https://openalex.org/I14316845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5125112817"],"corresponding_institution_ids":["https://openalex.org/I14316845"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.72814456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"264","last_page":"269"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.7666000127792358,"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":0.7666000127792358,"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/T13050","display_name":"Oil and Gas Production Techniques","score":0.023000000044703484,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/T11602","display_name":"Magnetic Bearings and Levitation Dynamics","score":0.014800000004470348,"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/downtime","display_name":"Downtime","score":0.6150000095367432},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5665000081062317},{"id":"https://openalex.org/keywords/root-mean-square","display_name":"Root mean square","score":0.5367000102996826},{"id":"https://openalex.org/keywords/normalization","display_name":"Normalization (sociology)","score":0.5347999930381775},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.5304999947547913},{"id":"https://openalex.org/keywords/amplitude","display_name":"Amplitude","score":0.5268999934196472},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4968000054359436},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.42579999566078186}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.6150000095367432},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5665000081062317},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.5367000102996826},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.5347999930381775},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.5304999947547913},{"id":"https://openalex.org/C180205008","wikidata":"https://www.wikidata.org/wiki/Q159190","display_name":"Amplitude","level":2,"score":0.5268999934196472},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4968000054359436},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.42579999566078186},{"id":"https://openalex.org/C17281054","wikidata":"https://www.wikidata.org/wiki/Q193466","display_name":"Rotor (electric)","level":2,"score":0.4198000133037567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4117000102996826},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4032999873161316},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3765000104904175},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3653999865055084},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35519999265670776},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.3450999855995178},{"id":"https://openalex.org/C177124886","wikidata":"https://www.wikidata.org/wiki/Q1343028","display_name":"Helicopter rotor","level":3,"score":0.3296999931335449},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.3280999958515167},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.3059999942779541},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.3028999865055084},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2915000021457672},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.28760001063346863},{"id":"https://openalex.org/C22679943","wikidata":"https://www.wikidata.org/wiki/Q159375","display_name":"Standard deviation","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C2988709989","wikidata":"https://www.wikidata.org/wiki/Q85784623","display_name":"Mean square","level":2,"score":0.26030001044273376}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccma67641.2025.11369662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccma67641.2025.11369662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 13th International Conference on Control, Mechatronics and Automation (ICCMA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.6028454899787903,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W84974313","https://openalex.org/W2904138018","https://openalex.org/W2975677389","https://openalex.org/W3085507403","https://openalex.org/W3091779856","https://openalex.org/W3148121023","https://openalex.org/W3205172848","https://openalex.org/W4288046153","https://openalex.org/W4309326585","https://openalex.org/W4313479509","https://openalex.org/W4367056173","https://openalex.org/W4379662055","https://openalex.org/W4381951285","https://openalex.org/W4386365388","https://openalex.org/W4391788212","https://openalex.org/W4394998532","https://openalex.org/W4396774040","https://openalex.org/W4399559539","https://openalex.org/W4401630042","https://openalex.org/W4402635945","https://openalex.org/W4404516003"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,24,59,75,82,95,105,125,130,133,151,164,174,206,215],"era":[2],"of":[3,26,32,132,208,217],"Industry":[4],"4.0,":[5],"reliable":[6],"fault":[7,49,77,210,226],"detection":[8],"in":[9,224],"rotating":[10],"machinery":[11],"is":[12,79,186],"critical":[13],"to":[14,58,87,90,94,103,124,155,167,170,205],"minimizing":[15],"unexpected":[16],"downtime":[17],"and":[18,38,116,141,180,203,221],"maintenance":[19],"costs.":[20],"This":[21],"study":[22],"addresses":[23],"challenge":[25],"diagnosing":[27],"compound":[28],"faults,":[29],"which":[30,185],"consist":[31],"an":[33,187],"unbalanced":[34],"rotor,":[35],"angular":[36],"misalignment,":[37,40],"parallel":[39],"by":[41],"introducing":[42],"a":[43,98],"baseline":[44],"regression":[45],"neural":[46,134],"network":[47,135],"for":[48],"severity":[50,78,183],"prediction.":[51],"Fast":[52],"Fourier":[53],"Transform":[54],"(FFT)":[55],"was":[56,85,101,111,122,153],"applied":[57,123],"time-series":[60],"vibration":[61],"signal,":[62],"producing":[63],"amplitude":[64,199],"features":[65,166],"across":[66,113],"multiple":[67],"frequency":[68,219],"ranges.":[69],"A":[70],"novel":[71],"\u2018smallest-severity":[72],"normalization,\u2019":[73],"where":[74],"minimum":[76],"considered":[80],"as":[81],"unit":[83],"severity,":[84],"introduced":[86],"enhance":[88],"sensitivity":[89],"minor":[91],"faults.":[92],"Due":[93],"imbalanced":[96],"dataset,":[97],"stratified":[99],"approach":[100],"used":[102],"split":[104],"data,":[106],"ensuring":[107],"that":[108,162,189],"label":[109],"distribution":[110],"consistent":[112],"training,":[114],"validation,":[115],"test":[117],"sets.":[118],"Additionally,":[119],"five-fold":[120],"cross-validation":[121],"training":[126],"data.":[127],"To":[128],"evaluate":[129],"accuracy":[131],"configuration,":[136],"Root":[137],"Mean":[138,142,147],"Squared":[139],"Error":[140,143],"were":[144],"used,":[145],"while":[146],"Absolute":[148],"Deviation":[149],"from":[150],"Median":[152],"employed":[154],"assess":[156],"its":[157],"precision.":[158],"The":[159],"results":[160],"reveal":[161],"limiting":[163],"input":[165],"frequencies":[168],"up":[169],"750":[171],"Hz":[172],"delivers":[173],"highest":[175],"accuracy,":[176],"with":[177],"minimal":[178],"error":[179],"slightly":[181],"conservative":[182],"predictions,":[184],"outcome":[188],"favors":[190],"early":[191],"warnings":[192],"over":[193],"missed":[194],"detections.":[195],"Conversely,":[196],"including":[197],"higher-frequency":[198],"data":[200],"increases":[201],"noise":[202],"leads":[204],"underestimation":[207],"actual":[209],"severity.":[211],"These":[212],"findings":[213],"highlight":[214],"value":[216],"careful":[218],"selection":[220],"tailored":[222],"normalization":[223],"multi-target":[225],"diagnosis.":[227]},"counts_by_year":[],"updated_date":"2026-02-20T08:17:22.645390","created_date":"2026-02-07T00:00:00"}