{"id":"W4321609132","doi":"10.1109/tpel.2023.3245052","title":"Accurate SM Disturbance Observer-Based Demagnetization Fault Diagnosis With Parameter Mismatch Impacts Eliminated for IPM Motors","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":89,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Control theory (sociology); Stator; Flux linkage; Disturbance (geology); Demagnetizing field; Fault (geology); Observer (physics); Engineering; Computer science; Induction motor; Direct torque control; Voltage; Physics; Magnetic field; Geology; Artificial intelligence","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":[0.0003461859,0.0005410149,0.0005637363,0.0002846018,0.000213418,0.0004170497,0.0004418275,0.0003704833,0.0006372586],"category_scores_gemma":[0.001176258,0.0002160576,0.000268583,0.0001609328,0.0002687802,0.0006892597,0.0003960095,0.0005424137,0.0001624411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002882523,"about_ca_system_score_gemma":0.0003183101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001843679,"about_ca_topic_score_gemma":0.001563975,"domain_scores_codex":[0.9996921,0.00004350561,0.00002989184,0.0000635381,0.00014198,0.00002907256],"domain_scores_gemma":[0.9995683,0.0001040912,0.00009080147,0.00007167694,0.0001490213,0.00001603596],"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":[0.0008523237,0.0001450002,0.006474161,0.0006732018,0.0001008222,0.0005369374,0.0005607487,0.2809846,0.2045751,0.008296547,0.001691541,0.4951091],"study_design_scores_gemma":[0.00001542647,0.0001480401,0.001077291,0.00001095936,0.00001222617,0.00007564873,0.00002449368,0.981806,0.01508638,0.0005606089,0.001173553,0.000009322747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02650105,0.0001448242,0.9719607,0.0000339803,0.00003706001,0.00002340692,0.00001077716,0.0004730619,0.0008150817],"genre_scores_gemma":[0.9504067,0.0001125804,0.04831905,0.00002454642,0.00001693271,0.00003485996,0.0000484466,0.00001816978,0.001018738],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001843679,"threshold_uncertainty_score":0.003665924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01303660272098415,"score_gpt":0.2292337685969103,"score_spread":0.2161971658759262,"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."}}