{"id":"https://openalex.org/W4288059566","doi":"https://doi.org/10.1109/tim.2022.3193964","title":"Precision Motion Measurement for Linear Motor Based on FNCC and Phase Difference M-Estimator Robust Regression in a VLSM System","display_name":"Precision Motion Measurement for Linear Motor Based on FNCC and Phase Difference M-Estimator Robust Regression in a VLSM System","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4288059566","doi":"https://doi.org/10.1109/tim.2022.3193964"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3193964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3193964","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-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/A5051857336","display_name":"Dongbo Hu","orcid":"https://orcid.org/0000-0002-6584-6299"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongbo Hu","raw_affiliation_strings":["School of Electrical Engineer and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-6584-6299","affiliations":[{"raw_affiliation_string":"School of Electrical Engineer and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075789912","display_name":"Jiwen Zhao","orcid":"https://orcid.org/0000-0001-9088-7642"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Zhao","raw_affiliation_strings":["School of Electrical Engineer and Automation, Hefei University of Technology, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0001-9088-7642","affiliations":[{"raw_affiliation_string":"School of Electrical Engineer and Automation, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050109299","display_name":"Xing Yang","orcid":"https://orcid.org/0000-0002-8824-1356"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Yang","raw_affiliation_strings":["State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8824-1356","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Pulsed Power Laser Technology, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100635901","display_name":"Xiaohu Zhang","orcid":"https://orcid.org/0000-0002-8447-2341"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohu Zhang","raw_affiliation_strings":["Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-8447-2341","affiliations":[{"raw_affiliation_string":"Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5873,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.65764619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10638","display_name":"Optical measurement and interference techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/subpixel-rendering","display_name":"Subpixel rendering","score":0.7485340237617493},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6907385587692261},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6025844812393188},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5758451819419861},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.5254751443862915},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.466594934463501},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.4303939938545227},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4266735911369324},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.42501968145370483},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.371732234954834},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3669711649417877},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.273295521736145},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.13292476534843445}],"concepts":[{"id":"https://openalex.org/C68516990","wikidata":"https://www.wikidata.org/wiki/Q452912","display_name":"Subpixel rendering","level":3,"score":0.7485340237617493},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6907385587692261},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6025844812393188},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5758451819419861},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.5254751443862915},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.466594934463501},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.4303939938545227},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4266735911369324},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.42501968145370483},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.371732234954834},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3669711649417877},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.273295521736145},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.13292476534843445},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"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/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3193964","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3193964","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G1315134802","display_name":"\u5927\u884c\u7a0b\u9ad8\u7cbe\u5bc6\u6c38\u78c1\u76f4\u7ebf\u7535\u673a\u4f3a\u670d\u7cfb\u7edf\u5173\u952e\u79d1\u5b66\u95ee\u9898\u7814\u7a76","funder_award_id":"51837001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3515177685","display_name":null,"funder_award_id":"52177038","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W2010590945","https://openalex.org/W2019457736","https://openalex.org/W2050353448","https://openalex.org/W2081321639","https://openalex.org/W2091407626","https://openalex.org/W2099826407","https://openalex.org/W2116434318","https://openalex.org/W2158453800","https://openalex.org/W2761521809","https://openalex.org/W2792839622","https://openalex.org/W2800340777","https://openalex.org/W2810778510","https://openalex.org/W2886609198","https://openalex.org/W2905064920","https://openalex.org/W2949557290","https://openalex.org/W2965953245","https://openalex.org/W2979312258","https://openalex.org/W3015474314","https://openalex.org/W3016310049","https://openalex.org/W3092417912","https://openalex.org/W3111439133","https://openalex.org/W3160167368","https://openalex.org/W3164712030","https://openalex.org/W3187789686","https://openalex.org/W3196053701","https://openalex.org/W3198861086","https://openalex.org/W3203116666","https://openalex.org/W4206180414","https://openalex.org/W4220908650","https://openalex.org/W4221010491"],"related_works":["https://openalex.org/W185753090","https://openalex.org/W2118974006","https://openalex.org/W2121391504","https://openalex.org/W1512144143","https://openalex.org/W1488997961","https://openalex.org/W2541791370","https://openalex.org/W2142711533","https://openalex.org/W2035976912","https://openalex.org/W2107100354","https://openalex.org/W3094187672"],"abstract_inverted_index":{"This":[0],"paper":[1],"investigates":[2],"a":[3,42,117],"low-cost":[4],"vision-based":[5],"line-scan":[6],"measurement":[7],"(VLSM)":[8],"system":[9,106],"to":[10,52,71],"achieve":[11,116],"the":[12,36,40,54,58,62,73,77,82,91,95,105,125],"high-precision":[13],"positioning":[14],"of":[15,31,39,57,76,81,120,124],"linear":[16],"motors.":[17],"And":[18],"an":[19],"improved":[20],"two-step":[21],"phase":[22,78],"difference":[23,79],"method":[24,68],"is":[25,47,69],"performed":[26],"for":[27,49],"detecting":[28],"subpixel":[29],"translation":[30],"1-D":[32],"multi-frame":[33],"images.":[34],"In":[35,61,103],"first":[37],"step":[38],"algorithm,":[41],"fast":[43],"normalized":[44],"cross-correlation":[45],"(FNCC)":[46],"adopted":[48],"coarse":[50],"estimation":[51],"extract":[53],"overlapping":[55],"portions":[56],"two":[59],"frames.":[60],"second":[63],"step,":[64],"M-Estimator":[65],"robust":[66],"regression":[67],"used":[70],"estimate":[72],"displacement":[74,118],"parameters":[75],"matrix":[80],"overlap":[83],"further":[84],"accurately.":[85],"The":[86],"simulation":[87],"cases":[88],"indicate":[89],"that":[90],"proposed":[92,108],"approach":[93],"outperforms":[94],"other":[96],"existing":[97],"methods":[98],"in":[99,113],"accuracy":[100],"and":[101,107,115],"robustness.":[102],"addition,":[104],"algorithm":[109],"are":[110],"effectively":[111],"validated":[112],"experiments":[114],"detection":[119],"0.01":[121],"mm":[122],"grade":[123],"mover.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
