{"id":"W3169336403","doi":"10.1109/tia.2021.3086083","title":"Emulation of an Induction Machine for Unbalanced Grid Faults","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Emulation; Microgrid; Grid; Hardware-in-the-loop simulation; Fault (geology); Hardware emulation; Interface (matter); Computer science; Control engineering; Engineering; Power (physics); Control theory (sociology); Voltage; Embedded system; Field-programmable gate array; Electrical engineering; Control (management)","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":[0.000173392,0.0003621322,0.0002204808,0.0002243299,0.0001561012,0.0002312642,0.0003607016,0.0002341479,0.001525959],"category_scores_gemma":[0.0003775955,0.00005634432,0.0001235097,0.0001418726,0.0001924006,0.0002809737,0.0001681375,0.000252131,0.0002321162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001851781,"about_ca_system_score_gemma":0.0001422219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003291182,"about_ca_topic_score_gemma":0.0002725516,"domain_scores_codex":[0.9999118,0.00002841482,0.000005112397,0.00001100307,0.00003204085,0.00001158239],"domain_scores_gemma":[0.9998616,0.00005165541,0.00002757158,0.00002894295,0.00002048496,0.000009713533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001338607,0.0003524443,0.005754011,0.0005117945,0.00004790223,0.0009288407,0.0005357707,0.3922444,0.4683858,0.00615162,0.001755874,0.1219929],"study_design_scores_gemma":[0.00009130519,0.001671668,0.00623544,0.00002373738,0.000036187,0.0004352891,0.0001071156,0.7469795,0.2377677,0.0009881195,0.005640091,0.00002385359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7854809,0.00007610425,0.2053317,0.0001196681,0.00003785477,0.00008974544,0.0001778147,0.001388505,0.007297725],"genre_scores_gemma":[0.9948068,0.00002072828,0.0044137,0.000006972998,0.000002394462,0.00001673557,0.00004921049,0.00001894819,0.0006645393],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001525959,"threshold_uncertainty_score":0.005104899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01532289592821585,"score_gpt":0.2607337070706585,"score_spread":0.2454108111424427,"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."}}