{"id":"https://openalex.org/W4412963633","doi":"https://doi.org/10.1109/i2mtc62753.2025.11079096","title":"An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations","display_name":"An On-Device Hybrid Machine Learning Approach for Anomaly Detection in Conveyor Belt Operations","publication_year":2025,"publication_date":"2025-05-19","ids":{"openalex":"https://openalex.org/W4412963633","doi":"https://doi.org/10.1109/i2mtc62753.2025.11079096"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc62753.2025.11079096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11079096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"},"type":"article","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/A5007936659","display_name":"Luciano Sebasti\u00e1n Martinez-Rau","orcid":"https://orcid.org/0000-0002-2336-5390"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Luciano Sebastian Martinez-Rau","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319917","display_name":"Yuxuan Zhang","orcid":"https://orcid.org/0000-0002-8617-0435"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Yuxuan Zhang","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102738218","display_name":"Quynh Nguyen Phuong Vu","orcid":"https://orcid.org/0009-0005-6783-3650"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Quynh Nguyen Phuong Vu","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017639280","display_name":"Bengt Oelmann","orcid":"https://orcid.org/0000-0001-9572-3639"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Bengt Oelmann","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004955261","display_name":"Sebastian Bader","orcid":"https://orcid.org/0000-0002-8382-0359"},"institutions":[{"id":"https://openalex.org/I56475706","display_name":"Mid Sweden University","ror":"https://ror.org/019k1pd13","country_code":"SE","type":"education","lineage":["https://openalex.org/I56475706"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sebastian Bader","raw_affiliation_strings":["Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden"],"affiliations":[{"raw_affiliation_string":"Mid Sweden University,Department of Computer and Electrical Engineering,Sundsvall,Sweden","institution_ids":["https://openalex.org/I56475706"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007936659"],"corresponding_institution_ids":["https://openalex.org/I56475706"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23514372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T13341","display_name":"Belt Conveyor Systems Engineering","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9943000078201294,"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"}},{"id":"https://openalex.org/T13344","display_name":"Industrial Automation and Control Systems","score":0.9883000254631042,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7536047697067261},{"id":"https://openalex.org/keywords/conveyor-belt","display_name":"Conveyor belt","score":0.6764978170394897},{"id":"https://openalex.org/keywords/belt-conveyor","display_name":"Belt conveyor","score":0.661362886428833},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6078766584396362},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.528369665145874},{"id":"https://openalex.org/keywords/automotive-engineering","display_name":"Automotive engineering","score":0.4086042046546936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4011378586292267},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2655144929885864},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.1506032645702362}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7536047697067261},{"id":"https://openalex.org/C2777709985","wikidata":"https://www.wikidata.org/wiki/Q770135","display_name":"Conveyor belt","level":2,"score":0.6764978170394897},{"id":"https://openalex.org/C2986611964","wikidata":"https://www.wikidata.org/wiki/Q770135","display_name":"Belt conveyor","level":2,"score":0.661362886428833},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6078766584396362},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.528369665145874},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.4086042046546936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4011378586292267},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2655144929885864},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.1506032645702362},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc62753.2025.11079096","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc62753.2025.11079096","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307330","display_name":"Knowledge Foundation","ror":"https://ror.org/00v64cg28"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2046701157","https://openalex.org/W2067191022","https://openalex.org/W2170505850","https://openalex.org/W2787894218","https://openalex.org/W2885676845","https://openalex.org/W2888648656","https://openalex.org/W2894782085","https://openalex.org/W2938276606","https://openalex.org/W3123075251","https://openalex.org/W3132036977","https://openalex.org/W3156222574","https://openalex.org/W3156281513","https://openalex.org/W4212863985","https://openalex.org/W4281677851","https://openalex.org/W4318816934","https://openalex.org/W4319599080","https://openalex.org/W4323317727","https://openalex.org/W4400114427","https://openalex.org/W4401808634","https://openalex.org/W4404570141","https://openalex.org/W6874400960"],"related_works":["https://openalex.org/W2806741695","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W2372685478","https://openalex.org/W3207797160","https://openalex.org/W2052267905","https://openalex.org/W3210364259","https://openalex.org/W2055387704","https://openalex.org/W3203536437","https://openalex.org/W4300558037"],"abstract_inverted_index":{"The":[0],"mining":[1,27,75],"sector":[2],"harnesses":[3],"advancements":[4],"in":[5,26,47,65,74,133],"automation,":[6],"digitalization,":[7],"and":[8,18,32,125,154,164,189,207],"interconnected":[9],"technologies":[10],"from":[11],"Industry":[12],"4.0":[13],"to":[14,58,86,183,195],"enhance":[15],"efficiency,":[16],"safety,":[17],"sustainability.":[19],"Conveyor":[20],"belts":[21],"play":[22],"a":[23,118],"critical":[24],"role":[25],"operations,":[28],"facilitating":[29],"the":[30,105,144,160,171],"continuous":[31,56],"efficient":[33],"transport":[34],"of":[35,62,141,149],"bulk":[36],"materials":[37],"over":[38],"long":[39],"distances,":[40],"directly":[41],"impacting":[42],"productivity.":[43],"While":[44,95],"anomaly":[45,72,131],"detection":[46,73,132],"specific":[48],"conveyor":[49,76,134],"belt":[50,77,135],"components":[51],"has":[52],"been":[53],"extensively":[54],"studied,":[55],"monitoring":[57],"identify":[59],"root":[60],"causes":[61],"failures":[63,206],"remains":[64],"its":[66],"early":[67,204],"stages.":[68],"Existing":[69],"methods":[70,173],"for":[71,107,111,129,151,156,202],"duty":[78],"cycles":[79,153],"rely":[80],"on":[81,168],"supervised":[82,126],"machine":[83,89,113],"learning":[84],"(ML)":[85],"classify":[87],"internal":[88,112],"modes":[90],"as":[91],"an":[92],"intermediate":[93],"step.":[94],"these":[96],"approaches":[97],"offer":[98],"high":[99],"explainability,":[100],"they":[101],"are":[102],"constrained":[103],"by":[104,162,181,193],"need":[106],"extensive":[108],"labeled":[109],"data":[110],"modes.":[114],"This":[115],"study":[116],"proposes":[117],"novel":[119],"pattern":[120],"recognition":[121],"approach":[122,145],"combining":[123],"unsupervised":[124],"ML":[127],"models":[128],"real-time":[130,176],"operational":[136],"cycles.":[137],"By":[138],"evaluating":[139],"combinations":[140],"TinyML":[142],"models,":[143],"achieved":[146],"average":[147],"F1-scores":[148],"83.2%":[150],"abnormal":[152],"97.0%":[155],"normal":[157],"cycles,":[158],"surpassing":[159],"state-of-the-art":[161],"11.4%":[163],"3.3%,":[165],"respectively.":[166],"Deployed":[167],"low-power":[169],"microcontrollers,":[170],"proposed":[172],"demonstrated":[174],"efficient,":[175],"operation,":[177],"reducing":[178],"energy":[179],"consumption":[180],"up":[182,194],"84.5%":[184],"(4.1":[185],"\u00b5J":[186],"per":[187],"inference)":[188],"program":[190],"memory":[191],"usage":[192],"72.1%.":[196],"These":[197],"results":[198],"provide":[199],"valuable":[200],"insights":[201],"detecting":[203],"mechanical":[205],"enabling":[208],"targeted":[209],"preventive":[210],"maintenance.":[211]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
