{"id":"https://openalex.org/W4287882704","doi":"https://doi.org/10.1109/isie51582.2022.9831458","title":"An Auto-Encoder enabled Fault Detection and Isolation Scheme for enabling a Multi-Sensorial Distributed Pose Estimation","display_name":"An Auto-Encoder enabled Fault Detection and Isolation Scheme for enabling a Multi-Sensorial Distributed Pose Estimation","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4287882704","doi":"https://doi.org/10.1109/isie51582.2022.9831458"},"language":"en","primary_location":{"id":"doi:10.1109/isie51582.2022.9831458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie51582.2022.9831458","pdf_url":null,"source":{"id":"https://openalex.org/S4363605663","display_name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://zenodo.org/record/7513666","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5025481237","display_name":"Moumita Mukherjee","orcid":"https://orcid.org/0000-0003-3530-1084"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Moumita Mukherjee","raw_affiliation_strings":["Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea"],"affiliations":[{"raw_affiliation_string":"Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","institution_ids":["https://openalex.org/I190632392"]},{"raw_affiliation_string":"Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036803875","display_name":"Avijit Banerjee","orcid":"https://orcid.org/0000-0003-3557-6782"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Avijit Banerjee","raw_affiliation_strings":["Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea"],"affiliations":[{"raw_affiliation_string":"Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","institution_ids":["https://openalex.org/I190632392"]},{"raw_affiliation_string":"Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea","institution_ids":["https://openalex.org/I190632392"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064878830","display_name":"George Nikolakopoulos","orcid":"https://orcid.org/0000-0003-0126-1897"},"institutions":[{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"George Nikolakopoulos","raw_affiliation_strings":["Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea"],"affiliations":[{"raw_affiliation_string":"Lulea University of Technology,Robotics and AI, Department of Computer, Electrical and Space Engineering,Lulea","institution_ids":["https://openalex.org/I190632392"]},{"raw_affiliation_string":"Robotics and AI, Department of Computer, Electrical and Space Engineering, Lulea University of Technology, Lulea","institution_ids":["https://openalex.org/I190632392"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5025481237"],"corresponding_institution_ids":["https://openalex.org/I190632392"],"apc_list":null,"apc_paid":null,"fwci":1.4144,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.79618282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"281","last_page":"288"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9973999857902527,"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.989300012588501,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6949563026428223},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.6733171343803406},{"id":"https://openalex.org/keywords/extended-kalman-filter","display_name":"Extended Kalman filter","score":0.6202930212020874},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6092630624771118},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5988880395889282},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5890821218490601},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5164659023284912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5116351246833801},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.5083078742027283},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.43098771572113037},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.42805221676826477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3915683925151825},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3316040337085724}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6949563026428223},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.6733171343803406},{"id":"https://openalex.org/C206833254","wikidata":"https://www.wikidata.org/wiki/Q5421817","display_name":"Extended Kalman filter","level":3,"score":0.6202930212020874},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6092630624771118},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5988880395889282},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5890821218490601},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5164659023284912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5116351246833801},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.5083078742027283},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.43098771572113037},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.42805221676826477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3915683925151825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3316040337085724},{"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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/isie51582.2022.9831458","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isie51582.2022.9831458","pdf_url":null,"source":{"id":"https://openalex.org/S4363605663","display_name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 31st International Symposium on Industrial Electronics (ISIE)","raw_type":"proceedings-article"},{"id":"pmh:oai:zenodo.org:7513666","is_oa":true,"landing_page_url":"https://zenodo.org/record/7513666","pdf_url":"https://zenodo.org/record/7513666","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"}],"best_oa_location":{"id":"pmh:oai:zenodo.org:7513666","is_oa":true,"landing_page_url":"https://zenodo.org/record/7513666","pdf_url":"https://zenodo.org/record/7513666","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferencePaper"},"sustainable_development_goals":[{"score":0.6700000166893005,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4287882704.pdf","grobid_xml":"https://content.openalex.org/works/W4287882704.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W133743037","https://openalex.org/W625957030","https://openalex.org/W1994373811","https://openalex.org/W2009302615","https://openalex.org/W2077824888","https://openalex.org/W2121812256","https://openalex.org/W2484797342","https://openalex.org/W2551758879","https://openalex.org/W2613480438","https://openalex.org/W2740802195","https://openalex.org/W2768018028","https://openalex.org/W3003625191","https://openalex.org/W3100054152","https://openalex.org/W3111643813","https://openalex.org/W3129245057","https://openalex.org/W3153872861","https://openalex.org/W4200159713","https://openalex.org/W6745830181","https://openalex.org/W7016021835"],"related_works":["https://openalex.org/W2089114113","https://openalex.org/W2389555968","https://openalex.org/W2352634297","https://openalex.org/W2320550378","https://openalex.org/W2020144404","https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W3107369729"],"abstract_inverted_index":{"This":[0],"article":[1],"proposes":[2],"a":[3,18,35,79,123,204,211],"novel":[4,19],"Auto-encoder":[5],"based":[6,70,110],"fault":[7,111],"detection":[8,112,144,196],"and":[9,30,64,87,202,226],"isolation":[10],"framework":[11],"approach":[12,38],"for":[13,178,198],"supporting":[14,219],"the":[15,40,50,53,56,67,72,75,81,85,91,95,102,140,150,157,163,169,171,183,187,199],"operation":[16],"of":[17,52,66,74,90,122,125,139,165,167,186],"multi-sensorial":[20],"distributed":[21],"pose":[22],"estimations":[23],"scheme.":[24],"The":[25],"proposed":[26,147],"work":[27],"detects":[28],"weak":[29],"strong":[31],"time-dependent":[32],"anomalies":[33],"in":[34,117,152,182],"decentralised":[36],"fusion":[37,188],"from":[39,137,210],"initial":[41],"estimation":[42],"layer.":[43],"As":[44,78],"it":[45],"will":[46,192],"be":[47],"presented,":[48],"at":[49,156],"end":[51],"learning":[54,76],"phase,":[55],"neural":[57],"network-based":[58],"auto-encoders":[59],"provide":[60],"synthetic":[61],"actual":[62,96],"position":[63],"orientation":[65],"robotic":[68],"system,":[69],"on":[71,134,162],"statistics":[73],"data.":[77],"result,":[80],"square":[82],"error":[83],"between":[84],"output":[86],"input":[88],"signal":[89,173],"auto-encoder":[92],"can":[93],"yield":[94],"outlier":[97,151,195],"with":[98,218],"reasonable":[99],"success.":[100],"On":[101],"other":[103],"hand,":[104],"an":[105,142],"Extended":[106],"Kalman":[107],"Filter":[108],"(EKF)":[109],"method":[113],"has":[114],"been":[115],"introduced":[116],"this":[118],"article,":[119],"which":[120],"consists":[121],"set":[124],"judiciously":[126],"designed":[127],"EKF":[128,141],"acts":[129],"as":[130],"filter":[131],"assembly.":[132],"Based":[133,161],"innovation":[135],"obtained":[136],"each":[138,179],"innovative":[143],"logic":[145],"is":[146,174],"to":[148],"identify":[149],"sensor":[153],"measurement":[154],"autonomously":[155],"appropriate":[158],"time":[159,180],"samples.":[160],"degree":[164],"accuracy":[166],"detecting":[168],"anomaly,":[170],"estimated":[172],"accepted":[175],"or":[176],"rejected":[177],"sample":[181],"second":[184],"layer":[185],"architecture.":[189],"Moreover,":[190],"we":[191],"introduce":[193],"two":[194,223],"methods":[197],"demonstration":[200],"purposes":[201],"outline":[203],"comparative":[205],"study":[206],"using":[207],"experimental":[208],"data":[209],"micro":[212],"aerial":[213],"vehicle.":[214],"An":[215],"extensive":[216],"analysis":[217],"results":[220],"demonstrate":[221],"these":[222],"methods'":[224],"effectiveness":[225],"accuracy.":[227]},"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":2}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}