{"id":"https://openalex.org/W3109891479","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263675","title":"A New Gear Fault Identification Method Based on EEMD Permutation Entropy and Grey Relation Degree","display_name":"A New Gear Fault Identification Method Based on EEMD Permutation Entropy and Grey Relation Degree","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109891479","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263675","mag":"3109891479"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5101785936","display_name":"Wenbin Zhang","orcid":"https://orcid.org/0000-0003-2334-8520"},"institutions":[{"id":"https://openalex.org/I4210121919","display_name":"Honghe University","ror":"https://ror.org/036prgm77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121919"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenbin Zhang","raw_affiliation_strings":["Honghe University,College of Engineering,Mengzi,China,661199"],"affiliations":[{"raw_affiliation_string":"Honghe University,College of Engineering,Mengzi,China,661199","institution_ids":["https://openalex.org/I4210121919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088001294","display_name":"Yushuo Tan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yushuo Tan","raw_affiliation_strings":["Shijiazhuang Posts and Telecommunications Technical College,Shijiazhuang,China,050021"],"affiliations":[{"raw_affiliation_string":"Shijiazhuang Posts and Telecommunications Technical College,Shijiazhuang,China,050021","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075279033","display_name":"Yasong Pu","orcid":"https://orcid.org/0000-0002-4159-0612"},"institutions":[{"id":"https://openalex.org/I4210121919","display_name":"Honghe University","ror":"https://ror.org/036prgm77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210121919"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yasong Pu","raw_affiliation_strings":["Honghe University,College of Engineering,Mengzi,China,661199"],"affiliations":[{"raw_affiliation_string":"Honghe University,College of Engineering,Mengzi,China,661199","institution_ids":["https://openalex.org/I4210121919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101785936"],"corresponding_institution_ids":["https://openalex.org/I4210121919"],"apc_list":null,"apc_paid":null,"fwci":0.1471,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47805337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"15","issue":null,"first_page":"542","last_page":"547"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9939000010490417,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9692000150680542,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/entropy","display_name":"Entropy (arrow of time)","score":0.6390151977539062},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5703102946281433},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.49976015090942383},{"id":"https://openalex.org/keywords/permutation","display_name":"Permutation (music)","score":0.49914097785949707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46706873178482056},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.44782179594039917},{"id":"https://openalex.org/keywords/degree","display_name":"Degree (music)","score":0.4408164322376251},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.42635005712509155},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4139626920223236},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.38385894894599915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3561483323574066},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2855526804924011}],"concepts":[{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6390151977539062},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5703102946281433},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.49976015090942383},{"id":"https://openalex.org/C21308566","wikidata":"https://www.wikidata.org/wiki/Q7169365","display_name":"Permutation (music)","level":2,"score":0.49914097785949707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46706873178482056},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.44782179594039917},{"id":"https://openalex.org/C2775997480","wikidata":"https://www.wikidata.org/wiki/Q586277","display_name":"Degree (music)","level":2,"score":0.4408164322376251},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.42635005712509155},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4139626920223236},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.38385894894599915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3561483323574066},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2855526804924011},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263675","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263675","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1927636927","https://openalex.org/W1998184794","https://openalex.org/W2120390927","https://openalex.org/W2141665259","https://openalex.org/W3188700589"],"related_works":["https://openalex.org/W4234874385","https://openalex.org/W2399035783","https://openalex.org/W2323648130","https://openalex.org/W3161230432","https://openalex.org/W2157140558","https://openalex.org/W2378782423","https://openalex.org/W4367190712","https://openalex.org/W2168900540","https://openalex.org/W1487201914","https://openalex.org/W2388988621"],"abstract_inverted_index":{"In":[0],"this":[1,95],"paper,":[2],"a":[3,35],"new":[4],"fault":[5,57,60,79,88,102],"identification":[6,85],"method":[7,96],"was":[8,23,32,81],"proposed":[9],"based":[10],"on":[11],"EEMD":[12],"permutation":[13,46,65],"entropy":[14,47,66],"and":[15,77,109],"grey":[16,70],"relation":[17,71],"degree.":[18],"Firstly,":[19],"the":[20,29,45,54,69,74,84],"sampled":[21],"data":[22],"denoised":[24,30],"by":[25],"morphological":[26],"filter.":[27],"Secondly,":[28],"signal":[31],"decomposed":[33],"into":[34],"finite":[36],"number":[37],"of":[38,111],"stationary":[39],"intrinsic":[40],"mode":[41],"functions":[42],"(IMF).":[43],"Thirdly,":[44],"were":[48],"calculated":[49,82],"to":[50],"express":[51],"some":[52],"containing":[53],"most":[55],"dominant":[56],"information.":[58],"Different":[59],"type":[61],"corresponds":[62],"with":[63],"different":[64],"distribution.":[67],"Finally,":[68],"degree":[72],"between":[73],"symptom":[75],"set":[76,80],"standard":[78],"as":[83],"evidence":[86],"for":[87,106],"diagnosis.":[89],"The":[90],"practical":[91],"results":[92],"show":[93],"that":[94],"is":[97],"quite":[98],"effective":[99],"in":[100],"gear":[101,112],"identification.":[103],"It's":[104],"suitable":[105],"on-line":[107],"monitoring":[108],"diagnosis":[110],"system.":[113]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
