{"id":"https://openalex.org/W4400114929","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560888","title":"Machine Status Tracking Using Vibration via Sparse Sampling and Without Reconstruction","display_name":"Machine Status Tracking Using Vibration via Sparse Sampling and Without Reconstruction","publication_year":2024,"publication_date":"2024-05-20","ids":{"openalex":"https://openalex.org/W4400114929","doi":"https://doi.org/10.1109/i2mtc60896.2024.10560888"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc60896.2024.10560888","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5051176055","display_name":"Boon-Yaik Ooi","orcid":"https://orcid.org/0000-0002-5230-671X"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"Boon Yaik Ooi","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Faculty of Information and Communication Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Faculty of Information and Communication Technology,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061024876","display_name":"Xin Yi Kh\u2019ng","orcid":"https://orcid.org/0000-0001-6844-9742"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Xin Yi Kh'ng","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Faculty of Information and Communication Technology,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Faculty of Information and Communication Technology,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072894090","display_name":"Woan Lin Beh","orcid":"https://orcid.org/0000-0002-4049-8195"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Woan Lin Beh","raw_affiliation_strings":["Universiti Tunku Abdul Rahman,Faculty of Science,Malaysia"],"affiliations":[{"raw_affiliation_string":"Universiti Tunku Abdul Rahman,Faculty of Science,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044422170","display_name":"Shervin Shirmohammadi","orcid":"https://orcid.org/0000-0002-3973-4445"},"institutions":[{"id":"https://openalex.org/I153718931","display_name":"University of Ottawa","ror":"https://ror.org/03c4mmv16","country_code":"CA","type":"education","lineage":["https://openalex.org/I153718931"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shervin Shirmohammadi","raw_affiliation_strings":["University of Ottawa,DISCOVER Lab,Canada"],"affiliations":[{"raw_affiliation_string":"University of Ottawa,DISCOVER Lab,Canada","institution_ids":["https://openalex.org/I153718931"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051176055"],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07506574,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9677000045776367,"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"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9677000045776367,"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/T10860","display_name":"Speech and Audio Processing","score":0.9674999713897705,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9634000062942505,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6261125802993774},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5767042636871338},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5503643155097961},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5396487712860107},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.49289822578430176},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4484909176826477},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37862712144851685},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.20498892664909363},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08558639883995056}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261125802993774},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5767042636871338},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5503643155097961},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396487712860107},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.49289822578430176},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4484909176826477},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37862712144851685},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.20498892664909363},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08558639883995056},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc60896.2024.10560888","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/i2mtc60896.2024.10560888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1974618482","https://openalex.org/W1986316936","https://openalex.org/W2537400565","https://openalex.org/W2801420905","https://openalex.org/W2972463432","https://openalex.org/W3008841762","https://openalex.org/W3015461837","https://openalex.org/W3089552309","https://openalex.org/W3091575862","https://openalex.org/W3175401247","https://openalex.org/W4318148761","https://openalex.org/W4366147531","https://openalex.org/W4366337932","https://openalex.org/W4384158743"],"related_works":["https://openalex.org/W2084086966","https://openalex.org/W2023861399","https://openalex.org/W2730915376","https://openalex.org/W2626306547","https://openalex.org/W2995569247","https://openalex.org/W2361261209","https://openalex.org/W4389241047","https://openalex.org/W2021396365","https://openalex.org/W2394134009","https://openalex.org/W2158788032"],"abstract_inverted_index":{"One":[0],"of":[1,13,47,53,103,127,172,177],"the":[2,10,51,72,84,101,117,125,139,148,152,161,178],"challenges":[3],"in":[4,56],"monitoring":[5],"machinery":[6],"vibration":[7,85,179],"is":[8,65],"handling":[9],"huge":[11],"amount":[12],"data":[14,37,43,80,144,155],"that":[15,160],"must":[16,87],"be":[17,88,93],"transmitted,":[18],"stored,":[19],"and":[20,35,79,113,132,141,145],"analyzed":[21],"before":[22,60,90],"transforming":[23],"it":[24],"into":[25],"useful":[26],"information.":[27],"Many":[28],"existing":[29],"works":[30],"aim":[31],"at":[32],"devising":[33],"efficient":[34],"effective":[36],"reduction":[38],"schemes":[39],"to":[40,137],"minimize":[41],"this":[42,96],"load.":[44],"Unfortunately,":[45],"many":[46],"these":[48],"techniques":[49],"require":[50],"reconstruction":[52],"data,":[54],"even":[55,67],"its":[57],"reduced":[58],"form,":[59],"proceeding":[61],"with":[62,169],"analysis.":[63],"This":[64],"true":[66],"for":[68,76,154],"compressive":[69],"sampling":[70,78],"(CS),":[71],"current":[73],"state-of-the-art":[74],"method":[75,136],"reducing":[77],"transfer":[81],"volumes,":[82],"as":[83],"signal":[86],"reconstructed":[89],"analysis":[91],"can":[92,164],"applied.":[94],"In":[95],"work,":[97],"we":[98,123],"capitalize":[99],"on":[100],"nature":[102],"manufacturing":[104],"machines,":[105],"where":[106],"vibrations":[107],"often":[108],"remain":[109],"stationary":[110],"over":[111],"time":[112],"only":[114,175],"change":[115],"when":[116],"machine":[118,149],"status":[119,150,168],"changes.":[120],"As":[121],"such,":[122],"propose":[124],"use":[126],"a":[128,166],"multilayer":[129],"neural":[130],"network":[131],"k-nearest":[133],"neighbor":[134],"(kNN)":[135],"analyze":[138],"sparsely":[140],"randomly":[142],"sampled":[143],"subsequently":[146],"identify":[147],"without":[151],"need":[153],"reconstruction.":[156],"Experimental":[157],"results":[158],"demonstrate":[159],"proposed":[162],"solution":[163],"track":[165],"machine's":[167],"an":[170],"accuracy":[171],"99.88%,":[173],"using":[174],"15%":[176],"data.":[180]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}