{"id":"https://openalex.org/W2981643619","doi":"https://doi.org/10.1109/rcis.2019.8876984","title":"Fault Detection of Elevator Systems Using Deep Autoencoder Feature Extraction","display_name":"Fault Detection of Elevator Systems Using Deep Autoencoder Feature Extraction","publication_year":2019,"publication_date":"2019-05-01","ids":{"openalex":"https://openalex.org/W2981643619","doi":"https://doi.org/10.1109/rcis.2019.8876984","mag":"2981643619"},"language":"en","primary_location":{"id":"doi:10.1109/rcis.2019.8876984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcis.2019.8876984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Research Challenges in Information Science (RCIS)","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/A5087325080","display_name":"Krishna Mohan Mishra","orcid":"https://orcid.org/0000-0001-7217-8631"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Krishna Mohan Mishra","raw_affiliation_strings":["Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062316521","display_name":"Tomi Krogerus","orcid":"https://orcid.org/0000-0003-3204-3171"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Tomi R. Krogerus","raw_affiliation_strings":["Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082638094","display_name":"Kalevi Huhtala","orcid":"https://orcid.org/0000-0003-4055-0392"},"institutions":[{"id":"https://openalex.org/I166825849","display_name":"Tampere University","ror":"https://ror.org/033003e23","country_code":"FI","type":"education","lineage":["https://openalex.org/I166825849"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Kalevi J. Huhtala","raw_affiliation_strings":["Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Unit of Automation Technology and Mechanical Engineering, Tampere University, Tampere, Finland","institution_ids":["https://openalex.org/I166825849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166825849"],"apc_list":null,"apc_paid":null,"fwci":3.0711,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92590676,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"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/T14011","display_name":"Elevator Systems and Control","score":0.9976000189781189,"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/T14011","display_name":"Elevator Systems and Control","score":0.9976000189781189,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9929999709129333,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9868999719619751,"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/autoencoder","display_name":"Autoencoder","score":0.8509737849235535},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7861471176147461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7272146344184875},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7071904540061951},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6819644570350647},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6606984734535217},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6574441194534302},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6070586442947388},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5365763902664185},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510118305683136},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46523943543434143},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4318455457687378},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34005680680274963},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.18964692950248718}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8509737849235535},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7861471176147461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7272146344184875},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7071904540061951},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6819644570350647},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6606984734535217},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6574441194534302},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6070586442947388},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5365763902664185},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510118305683136},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46523943543434143},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4318455457687378},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34005680680274963},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.18964692950248718},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/rcis.2019.8876984","is_oa":false,"landing_page_url":"https://doi.org/10.1109/rcis.2019.8876984","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 13th International Conference on Research Challenges in Information Science (RCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Life in Land","id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W589273271","https://openalex.org/W1619725525","https://openalex.org/W1628522418","https://openalex.org/W2013588815","https://openalex.org/W2025768430","https://openalex.org/W2091724649","https://openalex.org/W2150730746","https://openalex.org/W2164122462","https://openalex.org/W2208340121","https://openalex.org/W2219903032","https://openalex.org/W2324044936","https://openalex.org/W2512793263","https://openalex.org/W2567850567","https://openalex.org/W2588142644","https://openalex.org/W2589171657","https://openalex.org/W2591591405","https://openalex.org/W2734669076","https://openalex.org/W2761148314","https://openalex.org/W2769026020","https://openalex.org/W2798248638","https://openalex.org/W2844035112","https://openalex.org/W2865634799","https://openalex.org/W2893155924","https://openalex.org/W2893882093","https://openalex.org/W2896356240","https://openalex.org/W2896496692","https://openalex.org/W2902480091","https://openalex.org/W2902822419","https://openalex.org/W2903201974","https://openalex.org/W2911964244","https://openalex.org/W2981643619","https://openalex.org/W3013976324","https://openalex.org/W6610017368","https://openalex.org/W6740265871","https://openalex.org/W6757282157"],"related_works":["https://openalex.org/W2897844022","https://openalex.org/W1971735682","https://openalex.org/W2810258741","https://openalex.org/W2923057152","https://openalex.org/W1163196995","https://openalex.org/W2298611638","https://openalex.org/W2735326783","https://openalex.org/W3175492751","https://openalex.org/W2985572335","https://openalex.org/W2253468389","https://openalex.org/W3007466645","https://openalex.org/W2992983428","https://openalex.org/W2954718492","https://openalex.org/W2043683548","https://openalex.org/W3129859798","https://openalex.org/W3197063426","https://openalex.org/W2558780243","https://openalex.org/W2973485082","https://openalex.org/W3122914384","https://openalex.org/W3011782148"],"abstract_inverted_index":{"In":[0],"this":[1],"research,":[2],"we":[3],"propose":[4],"a":[5],"generic":[6],"deep":[7,20,83,114],"autoencoder":[8,104],"model":[9,55,126],"for":[10,28,51],"automated":[11],"feature":[12],"extraction":[13],"from":[14,117],"the":[15,41,54,87,112,118],"raw":[16],"sensor":[17],"data.":[18],"Extracted":[19],"features":[21,93,115],"are":[22,33,94],"classified":[23,96],"with":[24,75,97],"random":[25,98,105],"forest":[26,99,106],"algorithm":[27],"fault":[29,72],"detection.":[30],"Sensor":[31],"data":[32,48],"labelled":[34],"as":[35],"healthy":[36,47],"and":[37,130],"faulty":[38],"based":[39,79],"on":[40,80],"maintenance":[42,142],"actions":[43],"recorded.":[44],"The":[45],"remaining":[46],"is":[49,131],"used":[50],"validation":[52],"of":[53,62,153],"to":[56,100,111,122,144,156],"prove":[57],"its":[58],"efficacy":[59],"in":[60,71],"terms":[61],"avoiding":[63,76],"false":[64,77,146],"positives.":[65],"We":[66],"have":[67],"achieved":[68],"100%":[69],"accuracy":[70],"detection":[73],"along":[74],"positives":[78],"new":[81,113],"extracted":[82,116],"features,":[84],"which":[85,148],"outperform":[86],"results":[88,109],"using":[89],"existing":[90,123],"features.":[91,124],"Existing":[92],"also":[95],"compare":[101],"results.":[102],"Deep":[103],"provides":[107,127],"better":[108],"due":[110],"dataset":[119],"when":[120],"compared":[121],"Our":[125],"good":[128],"classification":[129],"robust":[132],"against":[133],"overfitting":[134],"characteristics.":[135],"This":[136],"research":[137],"will":[138,149],"help":[139],"various":[140],"predictive":[141],"systems":[143],"detect":[145],"alarms,":[147],"reduce":[150],"unnecessary":[151],"visits":[152],"service":[154],"technicians":[155],"installation":[157],"sites.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
