{"id":"https://openalex.org/W2792051659","doi":"https://doi.org/10.1109/infocom.2018.8485873","title":"RED: RFID-based Eccentricity Detection for High-speed Rotating Machinery","display_name":"RED: RFID-based Eccentricity Detection for High-speed Rotating Machinery","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2792051659","doi":"https://doi.org/10.1109/infocom.2018.8485873","mag":"2792051659"},"language":"en","primary_location":{"id":"doi:10.1109/infocom.2018.8485873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","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/A5112556140","display_name":"Yilun Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yilun Zheng","raw_affiliation_strings":["School of Software, Tsinghua University & TNLIST, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University & TNLIST, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060129988","display_name":"Yuan He","orcid":"https://orcid.org/0000-0002-6676-4009"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan He","raw_affiliation_strings":["School of Software, Tsinghua University & TNLIST, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University & TNLIST, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111241587","display_name":"Meng Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I37802460","display_name":"Northwest University","ror":"https://ror.org/00z3td547","country_code":"CN","type":"education","lineage":["https://openalex.org/I37802460"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Jin","raw_affiliation_strings":["Northwest University, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwest University, P.R. China","institution_ids":["https://openalex.org/I37802460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060249411","display_name":"Xiaolong Zheng","orcid":"https://orcid.org/0000-0001-7950-6773"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolong Zheng","raw_affiliation_strings":["School of Software, Tsinghua University & TNLIST, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University & TNLIST, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101877972","display_name":"Yunhao Liu","orcid":"https://orcid.org/0000-0002-7043-6008"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunhao Liu","raw_affiliation_strings":["School of Software, Tsinghua University & TNLIST, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Tsinghua University & TNLIST, P.R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1565","last_page":"1573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10986","display_name":"RFID technology advancements","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T10986","display_name":"RFID technology advancements","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9872000217437744,"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"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/eccentricity","display_name":"Eccentricity (behavior)","score":0.7782624959945679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6952861547470093},{"id":"https://openalex.org/keywords/judgement","display_name":"Judgement","score":0.49797892570495605},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.4456355571746826},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.44099369645118713},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.4338648319244385},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.20991870760917664},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.11720377206802368}],"concepts":[{"id":"https://openalex.org/C190538878","wikidata":"https://www.wikidata.org/wiki/Q50013","display_name":"Eccentricity (behavior)","level":2,"score":0.7782624959945679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6952861547470093},{"id":"https://openalex.org/C2776548248","wikidata":"https://www.wikidata.org/wiki/Q12621536","display_name":"Judgement","level":2,"score":0.49797892570495605},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.4456355571746826},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.44099369645118713},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4338648319244385},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.20991870760917664},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.11720377206802368},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/infocom.2018.8485873","is_oa":false,"landing_page_url":"https://doi.org/10.1109/infocom.2018.8485873","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE INFOCOM 2018 - IEEE Conference on Computer Communications","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1965491739","https://openalex.org/W1994467461","https://openalex.org/W2007940085","https://openalex.org/W2048131511","https://openalex.org/W2053196400","https://openalex.org/W2067040941","https://openalex.org/W2094346949","https://openalex.org/W2117614782","https://openalex.org/W2127971850","https://openalex.org/W2160593627","https://openalex.org/W2334995621","https://openalex.org/W2440930599","https://openalex.org/W2523934390","https://openalex.org/W2526272237","https://openalex.org/W2559106682","https://openalex.org/W2560434740","https://openalex.org/W2762375808","https://openalex.org/W2762819682","https://openalex.org/W7014929369"],"related_works":["https://openalex.org/W2886802431","https://openalex.org/W4388216822","https://openalex.org/W1761762290","https://openalex.org/W4391191813","https://openalex.org/W4387575966","https://openalex.org/W2384262901","https://openalex.org/W2975214487","https://openalex.org/W651304006","https://openalex.org/W2954284861","https://openalex.org/W3036465205"],"abstract_inverted_index":{"Eccentricity":[0],"detection":[1,25,54,129],"is":[2,125,131],"a":[3,47,81,91,100],"crucial":[4],"issue":[5],"for":[6,23,76],"highspeed":[7],"rotating":[8],"machinery,":[9],"which":[10,34,88],"concerns":[11],"the":[12,17,58,65,96,128],"stability":[13],"and":[14,37,50,67,103,113,115,127],"safety":[15],"of":[16,70],"machinery.":[18],"Conventional":[19],"techniques":[20],"in":[21,134],"industry":[22],"eccentricity":[24,53,77],"are":[26,35],"mainly":[27],"based":[28,84],"on":[29],"measuring":[30],"certain":[31],"physical":[32],"indicators,":[33],"costly":[36],"hard":[38],"to":[39,98],"deploy.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"propose":[45],"RED,":[46],"non-intrusive,":[48],"low-cost,":[49],"realtime":[51],"RFID-based":[52,60],"approach.":[55],"Differing":[56],"from":[57,95],"existing":[59],"sensing":[61],"approaches,":[62],"RED":[63,79,108],"utilizes":[64],"temporal":[66],"phase":[68],"distributions":[69],"tag":[71,97],"readings":[72,94],"as":[73],"effective":[74],"features":[75],"detection.":[78],"includes":[80],"Markov":[82],"chain":[83],"model":[85],"called":[86],"RUM,":[87],"only":[89],"needs":[90],"few":[92],"sample":[93],"make":[99],"highly":[101],"accurate":[102],"precise":[104],"judgement.":[105],"We":[106],"implement":[107],"with":[109],"commercial-of-the-shelf":[110],"RFID":[111],"reader":[112],"tags,":[114],"evaluate":[116],"its":[117],"performance":[118],"across":[119],"various":[120],"scenarios.":[121],"The":[122],"overall":[123],"accuracy":[124],"93.59%":[126],"latency":[130],"0.68":[132],"seconds":[133],"average.":[135]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
