{"id":"W3048247683","doi":"10.1115/1.4048001","title":"Online Chatter Detection for Milling Operations Using LSTM Neural Networks Assisted by Motor Current Signals of Ball Screw Drives","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; University of Manitoba","keywords":"Artificial neural network; Vibration; Ball screw; Deflection (physics); Ball (mathematics); Engineering; Machine tool; Control theory (sociology); Computer science; Mechanical engineering; Acoustics; Artificial intelligence; Control (management); Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006616867,0.0007553613,0.0004552261,0.0003942842,0.0002216107,0.0004589483,0.0006328117,0.0005869482,0.001087247],"category_scores_gemma":[0.001593634,0.0002685264,0.0003051019,0.0002451195,0.0002619185,0.0005013917,0.0003074856,0.0008112754,0.0002103335],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702809,"about_ca_system_score_gemma":0.0004183955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006265979,"about_ca_topic_score_gemma":0.006037916,"domain_scores_codex":[0.9997186,0.00005423238,0.00002327812,0.00007003375,0.00009564768,0.00003816926],"domain_scores_gemma":[0.9993253,0.0003220786,0.00007245375,0.00003599749,0.0002166242,0.00002768481],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001226369,0.0004082842,0.004556099,0.000398124,0.0001400655,0.0002131021,0.000187508,0.5025705,0.07199471,0.0008343956,0.001755614,0.4157152],"study_design_scores_gemma":[0.000003693692,0.00004852821,0.000385311,0.000003950441,0.000006202257,0.000005974137,0.000003609715,0.9952976,0.00410145,0.00006887974,0.00007086137,0.000003879737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4636799,0.001262326,0.5278409,0.0003202391,0.0002558786,0.0001083655,0.0001390598,0.002686535,0.003706783],"genre_scores_gemma":[0.9809213,0.00007306513,0.01819118,0.00003744082,0.00001047766,0.00003240366,0.00005247799,0.0000144519,0.0006671821],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006265979,"threshold_uncertainty_score":0.01245898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946474017561522,"score_gpt":0.2504926280155255,"score_spread":0.2310278878399103,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}