{"id":"W2160140118","doi":"10.1109/tec.2011.2180171","title":"Filtering of Hall-Sensor Signals for Improved Operation of Brushless DC Motors","year":2012,"lang":"en","type":"article","venue":"IEEE Transactions on Energy Conversion","topic":"Sensorless Control of Electric Motors","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Hall effect sensor; DC motor; Brushed DC electric motor; Inverter; Computer science; Electrical engineering; Electric motor; Work (physics); Control theory (sociology); Control engineering; Electronic engineering; Engineering; AC motor; Voltage; Magnet; Control (management); Mechanical engineering; Artificial intelligence","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":[0.00023265,0.0004330848,0.0004776558,0.00039255,0.0002226115,0.0005173674,0.0005326195,0.0004843668,0.002064427],"category_scores_gemma":[0.0006722464,0.0001126346,0.0002052533,0.0003553695,0.0001792779,0.0005301827,0.0001752845,0.0003262917,0.0006269165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002431844,"about_ca_system_score_gemma":0.0001448603,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002979536,"about_ca_topic_score_gemma":0.0005477455,"domain_scores_codex":[0.9997843,0.00003651501,0.00003103005,0.00003631609,0.00009140762,0.00002054602],"domain_scores_gemma":[0.9997284,0.0001078672,0.0000362244,0.00003342531,0.00008340449,0.00001062908],"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":[0.0004258827,0.00009762587,0.0002907926,0.0003972866,0.00002430823,0.0001391317,0.0001580973,0.006687121,0.7603446,0.005949509,0.001202717,0.2242829],"study_design_scores_gemma":[0.00008430078,0.000864081,0.001404333,0.00006882312,0.00006775457,0.0003046978,0.00004538986,0.1895673,0.7760275,0.002267511,0.02925399,0.00004445306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06039488,0.001413014,0.9336118,0.0001666267,0.000238507,0.0000702031,0.00005925494,0.0009675573,0.003078171],"genre_scores_gemma":[0.6852629,0.001517496,0.3084981,0.000175014,0.0002857599,0.00006496004,0.0001501495,0.0000939212,0.003951727],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002064427,"threshold_uncertainty_score":0.006906211,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01226452410849403,"score_gpt":0.2086060493266878,"score_spread":0.1963415252181938,"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."}}