{"id":"https://openalex.org/W2912920905","doi":"https://doi.org/10.1007/s11633-018-1162-7","title":"An Approach to Reducing Input Parameter Volume for Fault Classifiers","display_name":"An Approach to Reducing Input Parameter Volume for Fault Classifiers","publication_year":2019,"publication_date":"2019-01-23","ids":{"openalex":"https://openalex.org/W2912920905","doi":"https://doi.org/10.1007/s11633-018-1162-7","mag":"2912920905"},"language":"en","primary_location":{"id":"doi:10.1007/s11633-018-1162-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-018-1162-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-018-1162-7.pdf","source":{"id":"https://openalex.org/S28082686","display_name":"International Journal of Automation and Computing","issn_l":"1476-8186","issn":["1476-8186","1751-8520"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Automation and Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s11633-018-1162-7.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056485166","display_name":"Ann Smith","orcid":"https://orcid.org/0000-0002-4154-7868"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Ann Smith","raw_affiliation_strings":["Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK"],"raw_orcid":"https://orcid.org/0000-0002-4154-7868","affiliations":[{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077515483","display_name":"Fengshou Gu","orcid":"https://orcid.org/0000-0003-4907-525X"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fengshou Gu","raw_affiliation_strings":["Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK"],"raw_orcid":"https://orcid.org/0000-0003-4907-525X","affiliations":[{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091703595","display_name":"Andrew Ball","orcid":"https://orcid.org/0000-0001-7540-8965"},"institutions":[{"id":"https://openalex.org/I133837150","display_name":"University of Huddersfield","ror":"https://ror.org/05t1h8f27","country_code":"GB","type":"education","lineage":["https://openalex.org/I133837150"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrew D. Ball","raw_affiliation_strings":["Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK"],"raw_orcid":"https://orcid.org/0000-0001-7540-8965","affiliations":[{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, HD1 3DH, UK","institution_ids":["https://openalex.org/I133837150"]},{"raw_affiliation_string":"Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield, UK","institution_ids":["https://openalex.org/I133837150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5056485166"],"corresponding_institution_ids":["https://openalex.org/I133837150"],"apc_list":null,"apc_paid":null,"fwci":0.6739,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.68978968,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"2","first_page":"199","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","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/T10876","display_name":"Fault Detection and Control Systems","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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.998199999332428,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9894000291824341,"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/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.666816771030426},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.5737026333808899},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5019176006317139},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4837367832660675},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47313132882118225},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46344900131225586},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4622623026371002},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4612191617488861},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4290022850036621},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4007507562637329},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.37265458703041077},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34041687846183777},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33818256855010986},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1615360975265503}],"concepts":[{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.666816771030426},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.5737026333808899},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5019176006317139},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4837367832660675},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47313132882118225},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46344900131225586},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4622623026371002},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4612191617488861},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4290022850036621},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4007507562637329},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37265458703041077},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34041687846183777},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33818256855010986},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1615360975265503},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s11633-018-1162-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-018-1162-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-018-1162-7.pdf","source":{"id":"https://openalex.org/S28082686","display_name":"International Journal of Automation and Computing","issn_l":"1476-8186","issn":["1476-8186","1751-8520"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Automation and Computing","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/67e87191-236c-4eb3-9c9f-65ca3807b3aa","is_oa":true,"landing_page_url":"https://pure.hud.ac.uk/en/publications/67e87191-236c-4eb3-9c9f-65ca3807b3aa","pdf_url":null,"source":{"id":"https://openalex.org/S4306402508","display_name":"Huddersfield Research Portal (University of Huddersfield)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I133837150","host_organization_name":"University of Huddersfield","host_organization_lineage":["https://openalex.org/I133837150"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Smith, A, Gu, F & Ball, A 2019, 'An Approach to Reducing Input Parameter Volume for Fault Classifiers', International Journal of Automation and Computing, vol. 16, no. 2, pp. 199-212. https://doi.org/10.1007/s11633-018-1162-7","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":{"id":"doi:10.1007/s11633-018-1162-7","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s11633-018-1162-7","pdf_url":"https://link.springer.com/content/pdf/10.1007/s11633-018-1162-7.pdf","source":{"id":"https://openalex.org/S28082686","display_name":"International Journal of Automation and Computing","issn_l":"1476-8186","issn":["1476-8186","1751-8520"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Automation and Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"display_name":"Responsible consumption and production","id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2912920905.pdf","grobid_xml":"https://content.openalex.org/works/W2912920905.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W619893528","https://openalex.org/W625540141","https://openalex.org/W637777268","https://openalex.org/W951279272","https://openalex.org/W1529972356","https://openalex.org/W1654016072","https://openalex.org/W1967879920","https://openalex.org/W1972904341","https://openalex.org/W1976591177","https://openalex.org/W1979357005","https://openalex.org/W1993694278","https://openalex.org/W1993930017","https://openalex.org/W2049550263","https://openalex.org/W2052548080","https://openalex.org/W2053080049","https://openalex.org/W2066726645","https://openalex.org/W2074127606","https://openalex.org/W2092693116","https://openalex.org/W2093767424","https://openalex.org/W2094340389","https://openalex.org/W2115606304","https://openalex.org/W2144972072","https://openalex.org/W2155199877","https://openalex.org/W2159357605","https://openalex.org/W2320438893","https://openalex.org/W2488701045","https://openalex.org/W2489877094","https://openalex.org/W2505793374","https://openalex.org/W2508150509","https://openalex.org/W2587109013","https://openalex.org/W2752050215","https://openalex.org/W3146551586","https://openalex.org/W4213007602","https://openalex.org/W4214544219","https://openalex.org/W4285719527","https://openalex.org/W4300515658","https://openalex.org/W6676940277"],"related_works":["https://openalex.org/W2090763504","https://openalex.org/W148178222","https://openalex.org/W2394466068","https://openalex.org/W1987683558","https://openalex.org/W2104657898","https://openalex.org/W1948992892","https://openalex.org/W1886884218","https://openalex.org/W1495042958","https://openalex.org/W2537862391","https://openalex.org/W2417174640"],"abstract_inverted_index":{"As":[0],"condition":[1],"monitoring":[2],"of":[3,15,26,34,57,79,90,96,111,127,198],"systems":[4],"continues":[5],"to":[6,23,39,63,75,163],"grow":[7],"in":[8,83,222],"both":[9,219],"complexity":[10],"and":[11,161,225],"application,":[12],"an":[13,215,220,226],"overabundance":[14],"data":[16],"is":[17,48,51,61,73,170],"amassed.":[18],"Computational":[19],"capabilities":[20,134],"are":[21,182,190],"unable":[22],"keep":[24],"abreast":[25],"the":[27,55,77,97,125,128,186,231],"subsequent":[28],"processing":[29],"requirements.":[30],"Thus,":[31],"a":[32,69,87,108],"means":[33],"establishing":[35],"computable":[36],"prognostic":[37],"models":[38],"accurately":[40],"reflect":[41,94],"process":[42],"condition,":[43],"whilst":[44],"alleviating":[45],"computational":[46],"burdens,":[47],"essential.":[49],"This":[50],"achievable":[52],"by":[53],"restricting":[54],"amount":[56],"information":[58,101,168],"input":[59,114,212],"that":[60,93,178],"redundant":[62],"modelling":[64],"algorithms.":[65],"In":[66],"this":[67],"paper,":[68],"variable":[70,165],"clustering":[71],"approach":[72],"investigated":[74],"reorganise":[76],"harmonics":[78,189],"common":[80],"diagnostic":[81],"features":[82],"rotating":[84],"machinery":[85],"into":[86],"smaller":[88],"number":[89,110],"heterogeneous":[91],"groups":[92],"conditions":[95],"machine":[98],"with":[99,142,154,173],"minimal":[100],"redundancy.":[102],"Na\u00efve":[103,174,204],"Bayes":[104,175,205],"classifiers":[105],"established":[106],"using":[107],"reduced":[109],"highly":[112],"sensitive":[113],"parameters":[115],"realised":[116,214],"superior":[117,143],"classification":[118,180,206,223],"powers":[119],"over":[120],"higher":[121],"dimensional":[122],"classifiers,":[123,176],"demonstrating":[124],"effectiveness":[126],"proposed":[129],"approach.":[130],"Furthermore,":[131],"generic":[132],"parameter":[133,234],"were":[135,146,194],"evidenced":[136],"through":[137],"confirmatory":[138],"factor":[139],"analysis.":[140],"Parameters":[141],"deterministic":[144],"power":[145],"identified":[147],"alongside":[148],"complimentary,":[149],"uncorrelated,":[150],"variables.":[151],"Particularly,":[152],"variables":[153,213],"little":[155],"explanatory":[156],"capacity":[157],"could":[158],"be":[159],"eliminated":[160],"lead":[162],"further":[164],"reductions.":[166],"Their":[167],"sustainability":[169],"also":[171],"evaluated":[172],"showing":[177],"successive":[179],"rates":[181],"sufficiently":[183],"high":[184],"when":[185],"first":[187],"few":[188],"used.":[191],"Further":[192],"gains":[193],"illustrated":[195],"on":[196,230],"compression":[197],"chosen":[199],"envelope":[200],"harmonic":[201],"features.":[202],"A":[203],"model":[207],"incorporating":[208],"just":[209],"two":[210],"compressed":[211],"83.3%":[216],"success":[217],"rate,":[218],"increase":[221],"rate":[224],"immense":[227],"improvement":[228],"volume-wise":[229],"former":[232],"ten":[233],"model.":[235]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
