{"id":"https://openalex.org/W2753490802","doi":"https://doi.org/10.1109/aim.2017.8014158","title":"Early chatter detection based on logistic regression with time and frequency domain features","display_name":"Early chatter detection based on logistic regression with time and frequency domain features","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2753490802","doi":"https://doi.org/10.1109/aim.2017.8014158","mag":"2753490802"},"language":"en","primary_location":{"id":"doi:10.1109/aim.2017.8014158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2017.8014158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5063934485","display_name":"Longyang Ding","orcid":"https://orcid.org/0009-0001-0817-9207"},"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":"Longyang Ding","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101648778","display_name":"Yuxin Sun","orcid":"https://orcid.org/0000-0003-3039-5325"},"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":"Yuxin Sun","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036757330","display_name":"Zhenhua Xiong","orcid":"https://orcid.org/0000-0001-6046-3101"},"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":"Zhenhua Xiong","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1052","last_page":"1057"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10188","display_name":"Advanced machining processes and optimization","score":1.0,"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"}},{"id":"https://openalex.org/T11451","display_name":"Advanced Machining and Optimization Techniques","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11301","display_name":"Advanced Surface Polishing Techniques","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/autocorrelation","display_name":"Autocorrelation","score":0.7500399351119995},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.6144827604293823},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.5926221609115601},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5419647693634033},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.5358568429946899},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5351933240890503},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49826598167419434},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.49698927998542786},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4831356704235077},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.458712637424469},{"id":"https://openalex.org/keywords/approximate-entropy","display_name":"Approximate entropy","score":0.43682122230529785},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.41847991943359375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41366660594940186},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4123344123363495},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3437036871910095},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3310944139957428},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3072528541088104},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19824782013893127},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1556055247783661},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.14001911878585815},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.11996018886566162},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.10932785272598267},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07208922505378723}],"concepts":[{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7500399351119995},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.6144827604293823},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.5926221609115601},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5419647693634033},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.5358568429946899},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5351933240890503},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49826598167419434},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.49698927998542786},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4831356704235077},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.458712637424469},{"id":"https://openalex.org/C86859247","wikidata":"https://www.wikidata.org/wiki/Q4781760","display_name":"Approximate entropy","level":3,"score":0.43682122230529785},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.41847991943359375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41366660594940186},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4123344123363495},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3437036871910095},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3310944139957428},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3072528541088104},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19824782013893127},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1556055247783661},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.14001911878585815},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.11996018886566162},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.10932785272598267},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07208922505378723},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aim.2017.8014158","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aim.2017.8014158","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W115809662","https://openalex.org/W328766226","https://openalex.org/W1135211143","https://openalex.org/W1971031650","https://openalex.org/W1978191234","https://openalex.org/W1981329467","https://openalex.org/W1981976602","https://openalex.org/W1988745517","https://openalex.org/W2008589639","https://openalex.org/W2012222827","https://openalex.org/W2020864187","https://openalex.org/W2030928743","https://openalex.org/W2036079977","https://openalex.org/W2056250287","https://openalex.org/W2113638113","https://openalex.org/W2124328461","https://openalex.org/W2161620152","https://openalex.org/W2285472271","https://openalex.org/W2438464946","https://openalex.org/W2482102801","https://openalex.org/W2505714040","https://openalex.org/W2563875571"],"related_works":["https://openalex.org/W2782295999","https://openalex.org/W2162306796","https://openalex.org/W1970292246","https://openalex.org/W2016162169","https://openalex.org/W4247952185","https://openalex.org/W1642462315","https://openalex.org/W2015118744","https://openalex.org/W2005619368","https://openalex.org/W1879092539","https://openalex.org/W2526155427"],"abstract_inverted_index":{"Chatter":[0],"is":[1,49,56,95,105,116],"a":[2,31,106,149],"kind":[3],"of":[4,58,73,134,141,148,165],"unstable":[5],"vibration":[6],"in":[7,44,76,109,122],"metal":[8],"removal":[9],"processes,":[10],"which":[11,104],"causes":[12],"severe":[13],"damage":[14],"to":[15,84,90,119],"the":[16,52,59,71,77,93,99,123,128,131,139,142,145,166],"workpiece":[17],"and":[18,61,80,111,163],"machine":[19],"tool.":[20],"To":[21,87,137],"detect":[22],"cutting":[23,156],"chatter":[24,33,85,91,107,121],"at":[25],"an":[26],"early":[27],"stage,":[28],"we":[29],"propose":[30],"new":[32],"identification":[34],"method":[35,169],"based":[36,50,97],"on":[37,51,98],"status":[38],"classification":[39,48],"with":[40,130,154],"logistics":[41],"regression":[42],"(LR)":[43],"this":[45],"paper.":[46],"The":[47,67,114,158],"feature":[53],"vector":[54],"that":[55],"composed":[57],"autocorrelation":[60,68],"improved":[62],"wavelet":[63,100],"packet":[64,101],"entropy":[65,102],"(IWPE).":[66],"coefficient":[69],"characterizes":[70],"change":[72],"signal":[74],"periodicity":[75],"time":[78,133],"domain":[79],"shows":[81],"high":[82],"sensitivity":[83,89],"occurrence.":[86],"enhance":[88],"gestation,":[92],"IWPE":[94,115],"presented":[96],"(WPE),":[103],"indicator":[108],"frequency":[110],"energy":[112],"domain.":[113],"verified":[117],"experimentally":[118],"identify":[120],"premature":[124],"stage":[125],"earlier":[126],"than":[127],"WPE":[129],"lead":[132],"0.8":[135],"s.":[136],"evaluate":[138],"performance":[140],"proposed":[143,167],"system,":[144],"end-face":[146],"turning":[147],"thin-walled":[150],"disc":[151],"was":[152],"performed":[153],"various":[155],"parameters.":[157],"experimental":[159,174],"results":[160],"manifested":[161],"feasibility":[162],"efficiency":[164],"detection":[168],"after":[170],"being":[171],"trained":[172],"by":[173],"samples.":[175]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
