{"id":"https://openalex.org/W2980363400","doi":"https://doi.org/10.1109/aim.2019.8868547","title":"Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients","display_name":"Discovery of a Simplified Index Commonly Used in Various Algorithms for Quantification of Repetitive Transients","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2980363400","doi":"https://doi.org/10.1109/aim.2019.8868547","mag":"2980363400"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2019.8868547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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/A5100391562","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0003-4872-4860"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["The State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State Key Laboratory of Mechanical System and Vibration, Shanghai Jiao Tong University, Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091072755","display_name":"Changqing Shen","orcid":"https://orcid.org/0000-0002-5143-8366"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Shen","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12527619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"863","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9919000267982483,"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"}},{"id":"https://openalex.org/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.991599977016449,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kurtosis","display_name":"Kurtosis","score":0.9320191144943237},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6709374189376831},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617011547088623},{"id":"https://openalex.org/keywords/spectral-envelope","display_name":"Spectral envelope","score":0.4349684417247772},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.41566002368927},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.4135907292366028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3932170867919922},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3435817360877991},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.2753840982913971},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26141268014907837},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10196393728256226},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09521526098251343}],"concepts":[{"id":"https://openalex.org/C166963901","wikidata":"https://www.wikidata.org/wiki/Q287251","display_name":"Kurtosis","level":2,"score":0.9320191144943237},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6709374189376831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617011547088623},{"id":"https://openalex.org/C54926389","wikidata":"https://www.wikidata.org/wiki/Q7575188","display_name":"Spectral envelope","level":2,"score":0.4349684417247772},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.41566002368927},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.4135907292366028},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3932170867919922},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3435817360877991},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.2753840982913971},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26141268014907837},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10196393728256226},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09521526098251343},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2019.8868547","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2019.8868547","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)","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":16,"referenced_works":["https://openalex.org/W1196777648","https://openalex.org/W1971521993","https://openalex.org/W1973795114","https://openalex.org/W1977742600","https://openalex.org/W1979117586","https://openalex.org/W1984516393","https://openalex.org/W1998813289","https://openalex.org/W2022706486","https://openalex.org/W2046674752","https://openalex.org/W2053347934","https://openalex.org/W2053436766","https://openalex.org/W2093849451","https://openalex.org/W2585416310","https://openalex.org/W2767809796","https://openalex.org/W2793807982","https://openalex.org/W2796257745"],"related_works":["https://openalex.org/W4381516319","https://openalex.org/W2037499216","https://openalex.org/W1506384729","https://openalex.org/W4225568567","https://openalex.org/W4286378979","https://openalex.org/W3127045225","https://openalex.org/W2075698830","https://openalex.org/W3216026256","https://openalex.org/W2059891554","https://openalex.org/W2027857183"],"abstract_inverted_index":{"Machinery":[0],"fault":[1,177,187,204],"symptoms":[2],"are":[3,33],"related":[4],"to":[5,52,58,79,101,135,152,167,185,194],"repetitive":[6,17,54,63,84,115],"transients":[7,55,116],"because":[8],"of":[9,12,43,62,70,83,107,114,123,149,175,181,198],"the":[10,25,37,60,66,81,104,139,147,161,173,182,196,199],"property":[11],"rotating":[13],"shafts.":[14],"To":[15],"extract":[16,53],"transients,":[18,64],"various":[19],"algorithms":[20,32,171],"have":[21],"been":[22],"proposed":[23],"in":[24,138,172],"past":[26],"years.":[27],"The":[28],"most":[29],"two":[30],"famous":[31],"spectral":[34,158,190],"kurtosis":[35,40,42,69,87,131,159],"and":[36,95,160],"Protugram.":[38,162],"Spectral":[39],"uses":[41,68],"a":[44,49,76,108,143],"temporal":[45],"signal":[46],"preprocessed":[47,74],"by":[48,75],"band-pass":[50,77,109],"filter":[51,78,110],"so":[56,111],"as":[57,91],"characterize":[59,80],"impulsiveness":[61],"while":[65],"Protugram":[67],"squared":[71],"envelope":[72],"spectrum":[73],"cyclostationarity":[82],"transients.":[85],"Here,":[86],"can":[88,98,117],"be":[89,99,118,136],"regarded":[90],"an":[92],"objective":[93],"function":[94],"its":[96],"maximization":[97],"used":[100,137,193],"automatically":[102],"find":[103,129],"optimal":[105],"parameters":[106],"that":[112,130],"extraction":[113],"adaptively":[119],"realized":[120],"without":[121],"requirement":[122],"expertise.":[124],"In":[125],"this":[126],"paper,":[127],"we":[128],"is":[132,155,165,192],"not":[133],"necessary":[134],"aforementioned":[140],"algorithms.":[141],"Instead,":[142],"simplified":[144],"index":[145,184,201],"called":[146],"ratio":[148],"L2":[150],"norm":[151,154],"L1":[153],"discovered":[156,183,200],"from":[157],"This":[163],"discovery":[164],"beneficial":[166],"further":[168],"automating":[169],"more":[170],"field":[174],"machine":[176],"diagnosis.":[178,205],"One":[179],"application":[180],"quantifying":[186],"information":[188],"on":[189],"coherence":[191],"verify":[195],"effectiveness":[197],"for":[202],"machinery":[203]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
