{"id":"W2965594218","doi":"10.1109/iemdc.2019.8785348","title":"A Power Hardware-In-The-Loop Emulation of a Faulted Inverter","year":2019,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Inverter; Emulation; Power (physics); Power inverter; Fault (geology); Ripple; Torque; Computer science; Induction motor; Torque ripple; Hardware-in-the-loop simulation; Engineering; Electrical engineering; Embedded system; Direct torque control; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001061454,0.00006214571,0.0001190891,0.00006237073,0.000005229921,0.00001617236,0.00007161627,0.00004144093,0.0006102181],"category_scores_gemma":[0.000005949998,0.00004399243,0.00003973873,0.0001278685,0.000003745211,0.0001008732,0.000003915192,0.00004400254,0.0002581675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001325338,"about_ca_system_score_gemma":0.000003826736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003895895,"about_ca_topic_score_gemma":0.00001269132,"domain_scores_codex":[0.9995043,0.00002423491,0.0001949453,0.0000646933,0.0001236303,0.00008821842],"domain_scores_gemma":[0.9997329,0.0000390193,0.00001905143,0.0001702845,0.00002427935,0.00001447505],"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":[0.00009735625,0.000138592,0.09888133,0.0003098788,0.0001861194,0.000007044764,0.007946379,0.7453524,0.1192757,0.01058187,0.008640945,0.008582317],"study_design_scores_gemma":[0.0008144397,0.00002020317,0.03580706,0.00002015416,0.00000296267,0.000001428286,0.000218009,0.959491,0.0003085905,0.00005055984,0.003180209,0.00008543942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8355482,0.00003067226,0.002372689,0.00005375296,0.0001604137,0.0003219732,0.000001059189,0.00008003763,0.1614312],"genre_scores_gemma":[0.9984894,7.642427e-7,0.00001969405,0.00007706902,0.00001136682,0.000006308289,0.00000360883,0.000008807714,0.001382993],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2141385,"threshold_uncertainty_score":0.668146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005442629255785161,"score_gpt":0.2041275871034366,"score_spread":0.1986849578476515,"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."}}