乐胖代购免代理版

{"id":"https://openalex.org/W2743189459","doi":"https://doi.org/10.1109/icphm.2017.7998309","title":"Advanced correlation-based anomaly detection method for predictive maintenance","display_name":"Advanced correlation-based anomaly detection method for predictive maintenance","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2743189459","doi":"https://doi.org/10.1109/icphm.2017.7998309","mag":"2743189459"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2017.7998309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5109970447","display_name":"Pushe Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Pushe Zhao","raw_affiliation_strings":["Research & Development Group, Hitachi Ltd., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Research & Development Group, Hitachi Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042941311","display_name":"Masaru Kurihara","orcid":"https://orcid.org/0000-0001-9195-4202"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Masaru Kurihara","raw_affiliation_strings":["Research & Development Group, Hitachi Ltd., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Research & Development Group, Hitachi Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107992681","display_name":"J. Tanaka","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Junichi Tanaka","raw_affiliation_strings":["Research & Development Group, Hitachi Ltd., Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Research & Development Group, Hitachi Ltd., Tokyo, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024001443","display_name":"Tojiro Noda","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tojiro Noda","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069224139","display_name":"Shigeyoshi Chikuma","orcid":null},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shigeyoshi Chikuma","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054250942","display_name":"Tadashi Suzuki","orcid":"https://orcid.org/0000-0003-1030-7631"},"institutions":[{"id":"https://openalex.org/I65143321","display_name":"Hitachi (Japan)","ror":"https://ror.org/02exqgm79","country_code":"JP","type":"company","lineage":["https://openalex.org/I65143321"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Suzuki","raw_affiliation_strings":["Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan"],"affiliations":[{"raw_affiliation_string":"Internet of Things System Development Dept., Hitachi Power Solutions Co., Ltd., Ibaraki-ken, Japan","institution_ids":["https://openalex.org/I65143321"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.055,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":57,"citation_normalized_percentile":{"value":0.998399,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9968,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9968,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9944,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9932,"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/downtime","display_name":"Downtime","score":0.9101471},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.48804083}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.9101471},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.693112},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.6342042},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6307702},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6036302},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.53038687},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.49831343},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.48804083},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4681485},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46441028},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3567773},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2553756},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1501624},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.107924014},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm.2017.7998309","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":10,"referenced_works":["https://openalex.org/W1999393241","https://openalex.org/W2023205960","https://openalex.org/W2064962011","https://openalex.org/W2127103870","https://openalex.org/W2165700458","https://openalex.org/W2168949990","https://openalex.org/W2432455723","https://openalex.org/W2487340486","https://openalex.org/W2514292127","https://openalex.org/W2527510741"],"related_works":["https://openalex.org/W4390478470","https://openalex.org/W4362496992","https://openalex.org/W4281260765","https://openalex.org/W2944342107","https://openalex.org/W2806741695","https://openalex.org/W2159886170","https://openalex.org/W1980965876","https://openalex.org/W1567468256","https://openalex.org/W1516451032","https://openalex.org/W102856357"],"abstract_inverted_index":{"Variations":[0],"in":[1],"sensor":[2,63,90],"data":[3,64,91],"collected":[4],"from":[5],"equipment":[6,37],"have":[7],"been":[8],"widely":[9],"analyzed":[10],"by":[11,71],"using":[12,61],"anomaly":[13],"detection":[14],"methods":[15],"for":[16,53],"predictive":[17],"maintenance.":[18,109],"Our":[19],"experience":[20],"shows":[21],"that":[22,48],"correlations":[23,31,50],"between":[24,51],"sensors":[25,52],"effectively":[26],"predict":[27,99],"failures":[28,100],"because":[29],"the":[30,34,79,104],"usually":[32],"reflect":[33],"status":[35],"of":[36,106],"with":[38],"higher":[39],"sensitivity.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"present":[45],"a":[46],"method":[47,68,95],"exploits":[49],"pre-processing":[54],"and":[55,65,78,102,108],"enables":[56],"anomalies":[57,84],"to":[58,74,98],"be":[59],"detected":[60,83],"both":[62],"correlations.":[66],"The":[67],"was":[69],"evaluated":[70],"applying":[72],"it":[73,82],"compact":[75],"electric":[76],"generators,":[77],"results":[80],"showed":[81],"more":[85],"accurately":[86],"than":[87],"when":[88],"only":[89],"were":[92],"used.":[93],"This":[94],"is":[96],"expected":[97],"earlier":[101],"reduce":[103],"cost":[105],"downtime":[107]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2743189459","counts_by_year":[{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":2}],"updated_date":"2025-01-06T18:46:48.097497","created_date":"2017-08-17"}