{"id":"https://openalex.org/W7130959842","doi":"https://doi.org/10.31449/inf.v50i8.11458","title":"Fault Diagnosis in Mechanical Power Transmission System via Improved Particle Swarm Optimisation of Multilayer perceptron classifiers","display_name":"Fault Diagnosis in Mechanical Power Transmission System via Improved Particle Swarm Optimisation of Multilayer perceptron classifiers","publication_year":2026,"publication_date":"2026-02-21","ids":{"openalex":"https://openalex.org/W7130959842","doi":"https://doi.org/10.31449/inf.v50i8.11458"},"language":null,"primary_location":{"id":"doi:10.31449/inf.v50i8.11458","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11458","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11458/6543","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.informatica.si/index.php/informatica/article/download/11458/6543","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101686991","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0003-1773-3756"},"institutions":[{"id":"https://openalex.org/I4210114043","display_name":"Henan Institute of Technology","ror":"https://ror.org/024f5m737","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114043"]},{"id":"https://openalex.org/I4210165883","display_name":"Xinxiang University","ror":"https://ror.org/05qvskn85","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210165883"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Liu","raw_affiliation_strings":["Xinxiang Vocational and Technical College, Xinxiang City, Henan Province 453006, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinxiang Vocational and Technical College, Xinxiang City, Henan Province 453006, China","institution_ids":["https://openalex.org/I4210114043","https://openalex.org/I4210165883"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101686991"],"corresponding_institution_ids":["https://openalex.org/I4210114043","https://openalex.org/I4210165883"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17829797,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"8","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":0.9580000042915344,"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":0.9580000042915344,"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/T12676","display_name":"Machine Learning and ELM","score":0.007600000128149986,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.00279999990016222,"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/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5860999822616577},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.515500009059906},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4553000032901764},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.44040000438690186},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.3977999985218048},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.3856000006198883},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.38350000977516174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.3741999864578247},{"id":"https://openalex.org/keywords/power-transmission","display_name":"Power transmission","score":0.36959999799728394}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5860999822616577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5769000053405762},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.515500009059906},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4553000032901764},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.44040000438690186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4307999908924103},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4178999960422516},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3977999985218048},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.3856000006198883},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.38350000977516174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3741999864578247},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3725000023841858},{"id":"https://openalex.org/C92018576","wikidata":"https://www.wikidata.org/wiki/Q3242194","display_name":"Power transmission","level":3,"score":0.36959999799728394},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.36910000443458557},{"id":"https://openalex.org/C113608303","wikidata":"https://www.wikidata.org/wiki/Q1056835","display_name":"Transmission system","level":3,"score":0.3668000102043152},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.3483000099658966},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.32109999656677246},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.296999990940094},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.27970001101493835},{"id":"https://openalex.org/C186108316","wikidata":"https://www.wikidata.org/wiki/Q352530","display_name":"Adaptive neuro fuzzy inference system","level":4,"score":0.27649998664855957},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.27489998936653137},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.2646999955177307},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.2630999982357025},{"id":"https://openalex.org/C58758708","wikidata":"https://www.wikidata.org/wiki/Q7240233","display_name":"Premature convergence","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25360000133514404},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.2524000108242035}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31449/inf.v50i8.11458","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11458","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11458/6543","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.31449/inf.v50i8.11458","is_oa":true,"landing_page_url":"https://doi.org/10.31449/inf.v50i8.11458","pdf_url":"https://www.informatica.si/index.php/informatica/article/download/11458/6543","source":{"id":"https://openalex.org/S4210173311","display_name":"Informatica","issn_l":"0350-5596","issn":["0350-5596","1854-3871"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310314525","host_organization_name":"Slovenian Society Informatika","host_organization_lineage":["https://openalex.org/P4310314525"],"host_organization_lineage_names":["Slovenian Society Informatika"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Informatica","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7130959842.pdf","grobid_xml":"https://content.openalex.org/works/W7130959842.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Mechanical":[0],"power":[1,207],"transmission":[2],"systems":[3],"are":[4],"important":[5],"components":[6],"in":[7,163,182,205],"rotating":[8],"machinery,":[9],"and":[10,18,22,33,70,73,87,102,135,145,159,170,198],"its":[11],"unexpected":[12],"failures":[13],"can":[14],"cause":[15],"severe":[16],"economic":[17],"safety":[19],"losses.":[20],"Accurate":[21],"early":[23],"fault":[24,42,149,165,203],"diagnosis":[25,43,204],"is":[26,82],"therefore":[27],"essential":[28],"to":[29],"ensure":[30],"system":[31],"reliability":[32],"enable":[34],"predictive":[35],"maintenance.":[36],"This":[37],"study":[38],"introduces":[39],"a":[40,47,127,195],"novel":[41],"framework":[44,193],"that":[45,189],"integrates":[46],"multilayer":[48],"perceptron":[49],"(MLP)":[50],"with":[51,140],"Improved":[52],"Particle":[53],"Swarm":[54],"Optimisation":[55],"(IPSO)":[56],"for":[57,84,201],"enhanced":[58],"classification":[59,128],"performance.":[60],"The":[61,124],"method":[62],"incorporates":[63],"multi-domain":[64],"feature":[65],"extraction,":[66],"combining":[67],"statistical,":[68],"spectral,":[69],"nonlinear":[71],"descriptors,":[72],"addresses":[74],"data":[75,134],"imbalance":[76],"using":[77],"the":[78,109,118,121,152,177,190],"ADASYN":[79],"algorithm.":[80],"IPSO":[81],"employed":[83],"hyperparameter":[85],"tuning":[86],"classifier":[88],"weight":[89],"optimisation,":[90],"overcoming":[91],"premature":[92],"convergence":[93],"issues":[94],"of":[95,120,130,179],"conventional":[96],"PSO":[97],"through":[98],"adaptive":[99],"inertia":[100],"adjustment":[101],"random":[103],"mutation":[104],"strategies.":[105],"Experimental":[106],"validation":[107],"on":[108,132,137],"Case":[110],"Western":[111],"Reserve":[112],"University":[113],"(CWRU)":[114],"bearing":[115],"dataset":[116],"demonstrates":[117],"effectiveness":[119],"proposed":[122,191],"approach.":[123],"model":[125],"achieves":[126],"accuracy":[129],"95.3%":[131],"training":[133],"92.4%":[136],"testing":[138],"data,":[139],"consistently":[141],"high":[142],"precision,":[143],"recall,":[144],"F1-scores":[146],"across":[147],"multiple":[148],"categories.":[150],"Notably,":[151],"approach":[153],"shows":[154],"robustness":[155],"against":[156],"imbalanced":[157],"conditions":[158],"noisy":[160],"signals,":[161],"particularly":[162],"challenging":[164],"classes":[166],"such":[167],"as":[168],"Ball_014_1":[169],"OR_014_6_1.":[171],"Comparative":[172],"ablation":[173],"studies":[174],"further":[175],"highlight":[176],"contribution":[178],"IPSO-driven":[180],"optimisation":[181],"improving":[183],"diagnostic":[184],"accuracy.":[185],"These":[186],"results":[187],"confirm":[188],"MLP\u2013IPSO":[192],"provides":[194],"reliable,":[196],"scalable,":[197],"generalisable":[199],"solution":[200],"intelligent":[202],"mechanical":[206]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-02-23T00:00:00"}