{"id":"W2558083732","doi":"10.1109/tia.2016.2634518","title":"Torque-Ripple-Based Interior Permanent-Magnet Synchronous Machine Rotor Demagnetization Fault Detection and Current Regulation","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Torque ripple; Control theory (sociology); Ripple; Torque; Demagnetizing field; Rotor (electric); Fault detection and isolation; Fault (geology); Engineering; Magnet; Direct torque control; Automotive engineering; Computer science; Voltage; Physics; Electrical engineering; Induction motor; Magnetic field; Actuator; Magnetization; Geology","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":[0.0003475059,0.0004988237,0.0006767758,0.0006788112,0.0002013114,0.0005312666,0.0005481233,0.0003570831,0.0009102633],"category_scores_gemma":[0.001101469,0.0002204316,0.0003410155,0.0003523257,0.0003514682,0.0006358227,0.0003472938,0.0004218394,0.0003136296],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003109014,"about_ca_system_score_gemma":0.0002826384,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001163963,"about_ca_topic_score_gemma":0.001220651,"domain_scores_codex":[0.9997491,0.00003286676,0.00001464017,0.00004540551,0.000137194,0.00002072811],"domain_scores_gemma":[0.9996046,0.0001020949,0.0000862318,0.00005767869,0.0001339186,0.00001544502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007589237,0.0002274004,0.004438193,0.0006523316,0.00008888914,0.000354739,0.0002964376,0.2251706,0.1907957,0.004894907,0.001788307,0.5705336],"study_design_scores_gemma":[0.00001050333,0.0001109859,0.001689674,0.00001326425,0.00001591894,0.0000959406,0.00001726341,0.9708071,0.02576544,0.0007642665,0.0006958752,0.00001381124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04315183,0.000167804,0.9529436,0.00007092278,0.00003951308,0.00004217726,0.00003243544,0.001208751,0.002342898],"genre_scores_gemma":[0.9324986,0.0001254698,0.06590543,0.00002840284,0.00001778293,0.00002876665,0.00006230349,0.00005541651,0.001277855],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001163963,"threshold_uncertainty_score":0.003045082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0079609261227854,"score_gpt":0.218063694788985,"score_spread":0.2101027686661996,"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."}}