{"id":"https://openalex.org/W2810340538","doi":"https://doi.org/10.1109/codit.2018.8394807","title":"Fault diagnosis of manufacturing systems using data mining techniques","display_name":"Fault diagnosis of manufacturing systems using data mining techniques","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2810340538","doi":"https://doi.org/10.1109/codit.2018.8394807","mag":"2810340538"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2018.8394807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2018.8394807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","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/A5060236250","display_name":"Imene Djelloul","orcid":"https://orcid.org/0000-0002-4036-658X"},"institutions":[{"id":"https://openalex.org/I233209018","display_name":"University of Abou Bekr Belka\u00efd","ror":"https://ror.org/00jsjm362","country_code":"DZ","type":"education","lineage":["https://openalex.org/I233209018"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Imene Djelloul","raw_affiliation_strings":["Manufacturing Engineering Laboratory of Tlemcen (MELT), Tlemcen, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Engineering Laboratory of Tlemcen (MELT), Tlemcen, Algeria","institution_ids":["https://openalex.org/I233209018"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021421696","display_name":"Zaki Sari","orcid":"https://orcid.org/0000-0003-2338-4193"},"institutions":[{"id":"https://openalex.org/I233209018","display_name":"University of Abou Bekr Belka\u00efd","ror":"https://ror.org/00jsjm362","country_code":"DZ","type":"education","lineage":["https://openalex.org/I233209018"]}],"countries":["DZ"],"is_corresponding":false,"raw_author_name":"Zaki Sari","raw_affiliation_strings":["Manufacturing Engineering Laboratory of Tlemcen (MELT), Tlemcen, Algeria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Manufacturing Engineering Laboratory of Tlemcen (MELT), Tlemcen, Algeria","institution_ids":["https://openalex.org/I233209018"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019274347","display_name":"Ibrahima dit Bouran Sidibe","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ibrahima dit Bouran Sidibe","raw_affiliation_strings":["Centre de Formation et de Perfectionnement en Statistique (CFP-STAT), Bamako, Mali"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Centre de Formation et de Perfectionnement en Statistique (CFP-STAT), Bamako, Mali","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"198","last_page":"203"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9979000091552734,"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":0.9979000091552734,"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":0.9840999841690063,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9786999821662903,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6289913654327393},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6168456673622131},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.5486083030700684},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5383359789848328},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5282071232795715},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5136491656303406},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5070114135742188},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.46262240409851074},{"id":"https://openalex.org/keywords/levenberg\u2013marquardt-algorithm","display_name":"Levenberg\u2013Marquardt algorithm","score":0.4326532185077667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4204752743244171},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41528645157814026},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39263200759887695}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6289913654327393},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6168456673622131},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.5486083030700684},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5383359789848328},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5282071232795715},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5136491656303406},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5070114135742188},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.46262240409851074},{"id":"https://openalex.org/C87578567","wikidata":"https://www.wikidata.org/wiki/Q1426494","display_name":"Levenberg\u2013Marquardt algorithm","level":3,"score":0.4326532185077667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4204752743244171},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41528645157814026},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39263200759887695},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2018.8394807","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2018.8394807","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W93861927","https://openalex.org/W619893528","https://openalex.org/W1498985345","https://openalex.org/W1996361537","https://openalex.org/W2024985062","https://openalex.org/W2036828927","https://openalex.org/W2099703691","https://openalex.org/W2103692342","https://openalex.org/W2118067958","https://openalex.org/W2122935446","https://openalex.org/W2156504490","https://openalex.org/W2604054268","https://openalex.org/W2753767462","https://openalex.org/W2791045686","https://openalex.org/W3161324174"],"related_works":["https://openalex.org/W2207919472","https://openalex.org/W4287100774","https://openalex.org/W3178591032","https://openalex.org/W2026943567","https://openalex.org/W4392713763","https://openalex.org/W4390841026","https://openalex.org/W1528610309","https://openalex.org/W1993594538","https://openalex.org/W2619923004","https://openalex.org/W3215115147"],"abstract_inverted_index":{"Fault":[0],"is":[1,13,147],"one":[2,14],"of":[3,7,15,111,144,179],"the":[4,10,16,26,47,50,54,61,145],"main":[5],"causes":[6],"failure,":[8],"and":[9,53,67,116,121,153,158,163],"accurate":[11,133],"diagnosis":[12,27,51,83,107,178],"most":[17],"significant":[18],"steps":[19],"in":[20,35,82,129,167,176],"fault":[21,62,136],"treatment.":[22],"This":[23],"paper":[24,169],"considers":[25],"system":[28,126,134],"to":[29,64,131,172],"solve":[30],"some":[31],"maintenance":[32],"optimization":[33],"problems":[34],"manufacturing":[36],"systems.":[37],"The":[38,142],"proposed":[39],"architecture":[40],"deals":[41],"primarily":[42],"with":[43],"three":[44],"modules,":[45],"namely,":[46],"detection":[48],"module,":[49,52],"decision":[55],"making":[56],"module.":[57],"In":[58],"this":[59,101,168],"case,":[60],"needs":[63],"be":[65,87],"detected":[66],"diagnosed":[68],"as":[69,71],"early":[70],"possible":[72],"after":[73],"its":[74],"occurrence.":[75],"Data":[76],"mining":[77],"techniques":[78],"can":[79],"support":[80],"repairmen":[81],"decision-making":[84],"process.":[85],"To":[86],"successful,":[88],"we":[89],"suggest":[90],"new":[91,174],"classification":[92,137,154],"approach":[93,146],"based":[94,138],"on":[95,139],"hybrid":[96],"neural":[97,112],"network":[98],"technique":[99],"focusing":[100],"industrial":[102,177],"application":[103],"for":[104,135],"developing":[105],"a":[106],"system.":[108],"Two":[109],"models":[110],"networks:":[113],"Gradient":[114],"Descent":[115],"Momentum":[117],"&":[118],"Adaptive":[119],"LR":[120],"Levenberg-Marquardt":[122],"are":[123,161],"investigated.":[124],"Classifier":[125],"was":[127],"used":[128],"order":[130],"construct":[132],"regression":[140],"technique.":[141],"performance":[143],"evaluated":[148],"using":[149],"mean":[150],"square":[151],"error":[152],"accuracy.":[155],"Case":[156],"study":[157],"experimental":[159],"results":[160],"given":[162],"discussed.":[164],"Results":[165],"achieved":[166],"have":[170],"potential":[171],"open":[173],"opportunities":[175],"probable":[180],"faults.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
