{"id":"https://openalex.org/W2982197401","doi":"https://doi.org/10.1109/access.2019.2948080","title":"Adaptive Segmentation and Feature Acquisition of Test Sequence for Momentum Wheel","display_name":"Adaptive Segmentation and Feature Acquisition of Test Sequence for Momentum Wheel","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982197401","doi":"https://doi.org/10.1109/access.2019.2948080","mag":"2982197401"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2948080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08878009.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08878009.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5028040461","display_name":"Dong Xu","orcid":"https://orcid.org/0000-0002-6640-7757"},"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":true,"raw_author_name":"Dong Xu","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101689480","display_name":"Gaofei Zhang","orcid":"https://orcid.org/0000-0002-2316-6674"},"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":"Gaofei Zhang","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041300353","display_name":"Zheng You","orcid":"https://orcid.org/0000-0002-3941-1371"},"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":"Zheng You","raw_affiliation_strings":["Department of Precision Instrument, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Precision Instrument, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5028040461"],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3339,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57096774,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"7","issue":null,"first_page":"153278","last_page":"153286"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9994000196456909,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9818999767303467,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9531000256538391,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/momentum","display_name":"Momentum (technical analysis)","score":0.588171124458313},{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.5860497951507568},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5672231912612915},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5652152895927429},{"id":"https://openalex.org/keywords/piecewise","display_name":"Piecewise","score":0.5590775012969971},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5295283198356628},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5156484842300415},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4813990592956543},{"id":"https://openalex.org/keywords/rotational-speed","display_name":"Rotational speed","score":0.48014208674430847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4624718725681305},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.4230608642101288},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4210435748100281},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.361970454454422},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3268238604068756},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3239845037460327},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.27282169461250305},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2231200635433197},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.13208797574043274},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12927091121673584},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.10064998269081116}],"concepts":[{"id":"https://openalex.org/C60718061","wikidata":"https://www.wikidata.org/wiki/Q1414747","display_name":"Momentum (technical analysis)","level":2,"score":0.588171124458313},{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.5860497951507568},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5672231912612915},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5652152895927429},{"id":"https://openalex.org/C164660894","wikidata":"https://www.wikidata.org/wiki/Q2037833","display_name":"Piecewise","level":2,"score":0.5590775012969971},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295283198356628},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5156484842300415},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4813990592956543},{"id":"https://openalex.org/C81063470","wikidata":"https://www.wikidata.org/wiki/Q1256787","display_name":"Rotational speed","level":2,"score":0.48014208674430847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4624718725681305},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.4230608642101288},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4210435748100281},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.361970454454422},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3268238604068756},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3239845037460327},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.27282169461250305},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2231200635433197},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.13208797574043274},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12927091121673584},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.10064998269081116},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2948080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08878009.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:48195d3c0a89490a8ba36cd3e1527755","is_oa":true,"landing_page_url":"https://doaj.org/article/48195d3c0a89490a8ba36cd3e1527755","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 153278-153286 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2948080","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2948080","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08878009.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75}],"awards":[{"id":"https://openalex.org/G3355494699","display_name":null,"funder_award_id":"2016YFB0500900","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G8114646031","display_name":null,"funder_award_id":"2016Y","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982197401.pdf","grobid_xml":"https://content.openalex.org/works/W2982197401.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1986290158","https://openalex.org/W2029438113","https://openalex.org/W2039243482","https://openalex.org/W2061391654","https://openalex.org/W2062334877","https://openalex.org/W2081499315","https://openalex.org/W2099235880","https://openalex.org/W2110704543","https://openalex.org/W2147545132","https://openalex.org/W2166064672","https://openalex.org/W2170115081","https://openalex.org/W2172287363","https://openalex.org/W2246324534","https://openalex.org/W2331245353","https://openalex.org/W2513623897","https://openalex.org/W2561754033","https://openalex.org/W2572731656","https://openalex.org/W2758462749","https://openalex.org/W2804145147","https://openalex.org/W2813864053","https://openalex.org/W6675027958","https://openalex.org/W6684908462","https://openalex.org/W6685237379","https://openalex.org/W6691142507"],"related_works":["https://openalex.org/W2372566283","https://openalex.org/W3124352335","https://openalex.org/W3130437870","https://openalex.org/W1905368290","https://openalex.org/W2786382348","https://openalex.org/W2005259716","https://openalex.org/W2385263368","https://openalex.org/W2793285027","https://openalex.org/W2347422947","https://openalex.org/W1968695676"],"abstract_inverted_index":{"In":[0],"aerospace":[1],"engineering,":[2],"the":[3,12,38,67,72,78,93,104,118,130,134,147,154,164,167,171,182,188,191,201,212,217,220],"telemetry":[4,26],"sequence":[5,70,107],"is":[6,20,111,126,142,161,176,195],"a":[7,30,55],"vital":[8],"reference":[9],"for":[10,24,33,65,163],"evaluating":[11],"performance":[13],"of":[14,58,71,80,86,98,108,149,166,173,190,200,219],"each":[15],"component.":[16],"The":[17,178],"segmentation":[18],"algorithm":[19,125],"an":[21],"effective":[22],"method":[23,57,156],"processing":[25,66,140,194],"sequence,":[27],"which":[28,75],"lays":[29],"solid":[31],"foundation":[32],"obtaining":[34],"feature":[35,50,135],"indicators.":[36,51,89],"For":[37],"Momentum":[39,73,109,184,221],"Wheel,":[40,74],"rotational":[41,68,105,150],"speed":[42,69,100,106,151],"stability":[43],"and":[44,61,83,101,115,133,170,215],"acceleration":[45,174],"characteristic":[46,175],"are":[47],"two":[48,88,94],"crucial":[49],"This":[52,205],"paper":[53],"presents":[54],"novel":[56],"Adaptive":[59,120],"Segmentation":[60],"Feature":[62],"Extraction":[63],"(ASFE)":[64],"can":[76,209],"realize":[77],"requirements":[79,218],"online":[81,139],"testing":[82],"automatic":[84],"acquisition":[85],"these":[87],"Firstly,":[90],"based":[91,157],"on":[92,158],"different":[95],"working":[96],"modes":[97],"constant":[99],"adjusting":[102],"speed,":[103],"Wheel":[110,185,222],"identified":[112],"as":[113],"smooth":[114,131],"transitional.":[116],"Secondly,":[117],"improved":[119],"Piecewise":[121],"Constant":[122],"Approximation":[123],"(APCA)":[124],"proposed":[127,144],"to":[128,145],"identify":[129],"segmentation,":[132,169],"extraction":[136],"sub-algorithm":[137],"with":[138,181],"capability":[141],"also":[143],"obtain":[146],"indicator":[148,172],"stability.":[152],"Thirdly,":[153],"fitting":[155],"slope":[159],"threshold":[160],"used":[162],"data":[165,192],"transition":[168],"extracted.":[177],"experiment":[179],"results":[180],"X":[183],"shows":[186],"that":[187,207],"accuracy":[189],"measurement":[193],"not":[196],"less":[197],"than":[198],"0.96":[199],"theoretical":[202],"true":[203],"value.":[204],"indicates":[206],"ASFE":[208],"significantly":[210],"improve":[211],"test":[213],"efficiency":[214],"meet":[216],"test.":[223]},"counts_by_year":[{"year":2021,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
