{"id":"W2611681733","doi":"10.1109/pedes.2016.7914310","title":"Online rotor flux linkage estimation for a variable flux interior permanent magnet syncronous machine operating at different flux density levels","year":2016,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Flux linkage; Stator; Rotor (electric); Inductance; Magnet; Control theory (sociology); Flux (metallurgy); Magnetic flux; Estimator; Magnetization; Physics; Vector control; Linkage (software); Computer science; Engineering; Magnetic field; Materials science; Induction motor; Electrical engineering; Mathematics; Direct torque control; Chemistry; Voltage","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003578704,0.0005175718,0.0005067801,0.0009909143,0.0002724057,0.0004316293,0.0005255576,0.0004570032,0.001370729],"category_scores_gemma":[0.001015241,0.0002222949,0.0001567589,0.0003155539,0.000156516,0.0005069113,0.0002066153,0.000324102,0.0005031972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000229351,"about_ca_system_score_gemma":0.0001646897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005036211,"about_ca_topic_score_gemma":0.000935708,"domain_scores_codex":[0.9996488,0.00005090332,0.00001796594,0.00009649266,0.0001675032,0.00001825088],"domain_scores_gemma":[0.9993964,0.0001909089,0.0001358988,0.00005756733,0.0002032626,0.00001588963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005486287,0.0001736414,0.003316693,0.0002956363,0.00004462215,0.0001401447,0.0002955027,0.02774795,0.2019542,0.0009242958,0.001342347,0.7632164],"study_design_scores_gemma":[0.00005387006,0.0005305246,0.01254926,0.00004057679,0.00004759106,0.0004324371,0.00007571942,0.7365428,0.2423405,0.001001741,0.006313296,0.00007168247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07557458,0.0001698183,0.9203946,0.00004384201,0.00003404696,0.00004202054,0.00007124137,0.00215317,0.001516625],"genre_scores_gemma":[0.7540107,0.0001162583,0.2436618,0.00003083991,0.00002567247,0.00006487369,0.0001331073,0.0001389385,0.001817724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001370729,"threshold_uncertainty_score":0.004585564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01313846541193332,"score_gpt":0.2261066387398769,"score_spread":0.2129681733279436,"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."}}