{"id":"W1993869436","doi":"10.1109/upec.2008.4651645","title":"Rotor angle estimation of synchronous generator from online measurement","year":2008,"lang":"en","type":"article","venue":"","topic":"Power System Optimization and Stability","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Control theory (sociology); Voltage; Generator (circuit theory); Rotor (electric); Permanent magnet synchronous generator; Nonlinear system; SIGNAL (programming language); AC power; Computer science; Estimation theory; Synchronous motor; Power (physics); Engineering; Physics; Electrical engineering; 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":[0.0003799101,0.0005950312,0.0007741023,0.0005718431,0.000130191,0.0004388244,0.0004438256,0.0004849856,0.0007907038],"category_scores_gemma":[0.001753744,0.0002715305,0.000250731,0.0004792831,0.0002132294,0.0008495702,0.000325822,0.000571737,0.0006173639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001654553,"about_ca_system_score_gemma":0.0001625867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004922466,"about_ca_topic_score_gemma":0.0005300203,"domain_scores_codex":[0.999472,0.000149773,0.00002580756,0.0001250628,0.0001995113,0.00002778142],"domain_scores_gemma":[0.9995037,0.0001678108,0.00008675948,0.0001055753,0.0001212002,0.00001493112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004445356,0.0001132982,0.00312981,0.0003427968,0.00007940405,0.0001787982,0.0001287501,0.2716275,0.1379193,0.005995345,0.002367311,0.5776731],"study_design_scores_gemma":[0.00002974378,0.0000966619,0.001672947,0.00001406766,0.00001466636,0.0001285454,0.0000102315,0.9550162,0.03870736,0.002170057,0.002114326,0.00002522469],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01878623,0.0002711462,0.9792697,0.00003103699,0.00003307161,0.00001477509,0.00004545504,0.000600702,0.000947969],"genre_scores_gemma":[0.7993078,0.0005092382,0.1981021,0.00004087653,0.0000928946,0.00006418943,0.0002966174,0.0000994578,0.001486702],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007907038,"threshold_uncertainty_score":0.002645195,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0254430087675862,"score_gpt":0.2083179509883568,"score_spread":0.1828749422207706,"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."}}