{"id":"W1913679638","doi":"10.1109/ecce.2015.7310064","title":"A comparative study of various methods of IM's rotor resistance estimation","year":2015,"lang":"en","type":"article","venue":"","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"MRAS; Rotor (electric); Control theory (sociology); Torque; Generalization; Computer science; Power (physics); Estimation theory; Induction motor; AC power; Control engineering; Engineering; Mathematics; Algorithm; Artificial intelligence; Vector control; Voltage; Physics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002962135,0.0000902355,0.0003370516,0.00009639516,0.000008211889,0.00000452706,0.00009643845,0.00003004919,0.00001096379],"category_scores_gemma":[0.00009979323,0.00008224011,0.00002408217,0.0002381411,0.00001610014,0.00006580703,0.000008696882,0.00005806705,0.000002658535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005093098,"about_ca_system_score_gemma":0.00001946573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009128104,"about_ca_topic_score_gemma":0.000118556,"domain_scores_codex":[0.999248,0.0001004966,0.0002965139,0.00008895311,0.0001676835,0.00009841401],"domain_scores_gemma":[0.9993573,0.0001934719,0.00007243011,0.0001970425,0.0001339151,0.00004578475],"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":[0.0005741547,0.001169775,0.002078517,0.0002451292,0.001087397,0.00001042835,0.03656382,0.8655818,0.06851182,0.004672492,0.005708701,0.01379598],"study_design_scores_gemma":[0.003124335,0.0006211423,0.007856982,0.00002558722,0.00009229239,0.000001308755,0.002239956,0.9160177,0.06869534,0.0008248014,0.0002525246,0.000247991],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.715277,0.0002524848,0.2711924,0.000007016843,0.0001002255,0.0006438701,0.000001389934,0.0001053821,0.01242023],"genre_scores_gemma":[0.8885798,5.780227e-7,0.1112187,0.000002015142,0.000009185897,0.00002453355,5.435947e-7,0.000009198455,0.0001554477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1733028,"threshold_uncertainty_score":0.3353654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591448908897879,"score_gpt":0.3420982259265441,"score_spread":0.2961837368375653,"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."}}