{"id":"W2991301489","doi":"10.1109/ecce.2019.8912613","title":"Hardware-in-the-loop Simulations of Inverter Faults in an Electric Drive System","year":2019,"lang":"en","type":"article","venue":"","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Opal-Rt Technologies (Canada); Concordia University","funders":"","keywords":"Inverter; Fault (geology); Engineering; Voltage; Power inverter; Power (physics); Hardware-in-the-loop simulation; Control theory (sociology); Control engineering; Computer science; Electrical engineering; Control (management); Physics","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":[0.0001843428,0.0002903108,0.000296026,0.000212079,0.0001985926,0.0002807747,0.0004120845,0.0005106715,0.002556208],"category_scores_gemma":[0.0008713661,0.0001219236,0.0001830233,0.0001468526,0.0004151962,0.0002794701,0.0002963369,0.0003717618,0.0001225896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002255684,"about_ca_system_score_gemma":0.0002592571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002421348,"about_ca_topic_score_gemma":0.001464845,"domain_scores_codex":[0.9998913,0.00003177761,0.000006757215,0.00001294354,0.00003383115,0.00002328145],"domain_scores_gemma":[0.9994129,0.0004123519,0.00005242462,0.00004149514,0.00005645481,0.00002435387],"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":[0.0001001669,0.00004600953,0.00114352,0.00004468124,0.000008038991,0.00009890698,0.00008108099,0.9893842,0.005226841,0.0006750547,0.0001196624,0.003071822],"study_design_scores_gemma":[0.00001293828,0.00007337967,0.0003617979,0.000002420468,0.000002313076,0.00001173483,0.00001788629,0.9966131,0.002553477,0.0001954943,0.0001526301,0.000002852659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9313773,0.00004632782,0.05983205,0.00009941954,0.00002651181,0.00006417955,0.0002339455,0.0005805111,0.007739723],"genre_scores_gemma":[0.997457,0.00001184003,0.001844152,0.000006757577,0.000001107892,0.00002175684,0.00003845329,0.0000121141,0.0006068725],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002556208,"threshold_uncertainty_score":0.008551359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007269853962112365,"score_gpt":0.2167183381544374,"score_spread":0.209448484192325,"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."}}