{"id":"W2345236397","doi":"10.1109/tec.2015.2514099","title":"Real-Time Nonlinear Magnetic Equivalent Circuit Model of Induction Machine on FPGA for Hardware-in-the-Loop Simulation","year":2016,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Field-programmable gate array; Hardware-in-the-loop simulation; Computer science; Nonlinear system; Equivalent circuit; Electronic circuit; Loop (graph theory); Finite element method; Key (lock); Computer hardware; Electronic engineering; Embedded system; Engineering; Voltage; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00009560207,0.0004247779,0.0002963922,0.0001419112,0.0001481525,0.0003020361,0.0006196703,0.0003022135,0.005169992],"category_scores_gemma":[0.0002381792,0.0001233492,0.0002291053,0.0001022404,0.000169048,0.0004033481,0.0001807906,0.0003586027,0.0005384026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002459872,"about_ca_system_score_gemma":0.0003193996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170252,"about_ca_topic_score_gemma":0.002385122,"domain_scores_codex":[0.9999367,0.00001491572,0.000003572393,0.000008364998,0.00002845208,0.000007921514],"domain_scores_gemma":[0.9999106,0.00003327047,0.00001100999,0.00002001886,0.00002131335,0.000003852019],"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":[0.0001331896,0.00004544773,0.0006756891,0.0001523871,0.00001866175,0.0001995642,0.0000599901,0.9392604,0.0250919,0.006140013,0.001278339,0.02694444],"study_design_scores_gemma":[0.00001129365,0.00003779201,0.0001540946,0.00000456991,0.000004794722,0.00003256427,0.000007358722,0.9930072,0.004753435,0.0004255167,0.001558315,0.000003084204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07753685,0.000164631,0.9011707,0.0001575483,0.00007749765,0.000111225,0.0002591479,0.003135179,0.01738733],"genre_scores_gemma":[0.9186462,0.0001560227,0.07397839,0.00004144727,0.00001248086,0.0001515202,0.0002071277,0.00009380539,0.006713018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005169992,"threshold_uncertainty_score":0.01729536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02158609938302783,"score_gpt":0.2296276572858433,"score_spread":0.2080415579028154,"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."}}