{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001690178,0.000117208,0.0001796697,0.0001277338,0.000102184,0.00006713848,0.0001227185,0.00003093758,0.000001387795],"category_scores_gemma":[0.00007935708,0.0001076136,0.00004344889,0.0001570869,0.00002868506,0.0005757014,0.00002074579,0.0001752066,2.550907e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004307448,"about_ca_system_score_gemma":0.00001351984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001228768,"about_ca_topic_score_gemma":4.777426e-7,"domain_scores_codex":[0.999209,0.000003629168,0.0003187806,0.0001102379,0.0001766467,0.0001816376],"domain_scores_gemma":[0.9996067,0.00003624559,0.0000824279,0.0000428722,0.0001208783,0.0001108245],"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":[0.000006070168,0.000005805854,0.000006713433,0.0001099264,0.000008305959,3.165545e-7,0.000111536,0.8398208,0.1501608,6.912563e-7,0.000002242551,0.009766783],"study_design_scores_gemma":[0.0001814696,0.00007555346,0.0003099441,0.0001041115,0.0000208631,0.00001038891,0.00003763507,0.8986263,0.1004299,0.000001574619,0.0001019849,0.0001003341],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4471214,0.0007838028,0.5518031,0.00002621198,0.0001921859,0.00005011399,0.00000392885,0.0000188199,4.854389e-7],"genre_scores_gemma":[0.9790152,0.0002395597,0.02050901,0.0000229922,0.000192289,0.000001363182,0.000001802411,0.00001733468,4.718654e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5318937,"threshold_uncertainty_score":0.4388355,"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."}}