{"id":"W4284895873","doi":"10.1109/itec53557.2022.9813774","title":"A Multi-objective Optimization Framework for the Design of a High Power-Density Switched Reluctance Motor","year":2022,"lang":"en","type":"article","venue":"","topic":"Electric Motor Design and Analysis","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Switched reluctance motor; Control theory (sociology); Torque; Torque ripple; Computer science; Torque density; Stochastic optimization; Power (physics); Optimization problem; Direct torque control; Engineering; Mathematical optimization; Mathematics; Induction motor; Control (management); Physics; Voltage; Algorithm","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":[0.00167409,0.001652766,0.001310865,0.0007156187,0.0005153644,0.001188669,0.001131446,0.001402043,0.002642334],"category_scores_gemma":[0.001311452,0.0008453936,0.001161002,0.0005964783,0.0006793212,0.0007755314,0.001010233,0.001173913,0.0004746024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007295395,"about_ca_system_score_gemma":0.001808924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004135989,"about_ca_topic_score_gemma":0.004292101,"domain_scores_codex":[0.9994273,0.0001927832,0.0000247673,0.00008724161,0.000219825,0.0000481331],"domain_scores_gemma":[0.9996449,0.0001616916,0.00005123435,0.00001314343,0.0001092041,0.00001988307],"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":[0.000008565525,0.0000100126,0.00004992923,0.00005225936,0.00001187232,0.00002250727,0.00001064638,0.9912651,0.0007019755,0.003302041,0.0001820227,0.004383013],"study_design_scores_gemma":[0.000005196421,0.00002388772,0.00003086411,0.000006195138,0.000004587107,0.000005420026,0.000004620338,0.9984231,0.0001487483,0.0008825664,0.0004615494,0.000003294546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003217388,0.0002965233,0.9932505,0.0000900212,0.00002218229,0.00004381145,0.00002912949,0.00008921951,0.002961169],"genre_scores_gemma":[0.442021,0.0009522879,0.5480588,0.0001689145,0.0000804556,0.000969522,0.0002622576,0.0001626996,0.007324093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004135989,"threshold_uncertainty_score":0.008853495,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01490265416048531,"score_gpt":0.221114020067524,"score_spread":0.2062113659070387,"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."}}