{"id":"W2336375692","doi":"10.3166/ejee.17.455-473","title":"An observer-based approach for sensors (position/speed, currents and DC-link voltage) fault detection and diagnosis in PMSM drive","year":2014,"lang":"en","type":"article","venue":"European Journal of Electrical Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Control theory (sociology); MRAS; Current sensor; Observer (physics); Extended Kalman filter; Fault detection and isolation; Fault (geology); Test bench; Voltage; Kalman filter; Position sensor; Engineering; Nonlinear system; Duty cycle; Computer science; Electrical engineering; Physics; Vector control; Actuator; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000702899,0.0002316141,0.0003051982,0.0004139267,0.00004107988,0.00007328964,0.00014906,0.00005851154,0.000001663166],"category_scores_gemma":[0.0003307545,0.00023252,0.00007261632,0.0002729282,0.00001542399,0.0002351968,0.00001536528,0.0004784779,4.807854e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008804866,"about_ca_system_score_gemma":0.000005504448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003014919,"about_ca_topic_score_gemma":0.00000104793,"domain_scores_codex":[0.9987858,0.000105138,0.0004643565,0.0001934891,0.0001623349,0.0002888665],"domain_scores_gemma":[0.9992752,0.0002432857,0.00008847945,0.0001228814,0.00007261408,0.0001975254],"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":[0.0000557303,0.0001645142,0.004828452,0.0002897639,0.00005949644,0.00003661228,0.0001434938,0.8054941,0.0591687,0.00008745991,0.0001597043,0.129512],"study_design_scores_gemma":[0.0009741893,0.0006171428,0.01853668,0.0001044937,0.00003400458,0.00005189175,0.000003442388,0.9621599,0.01642252,0.00001737944,0.0008189432,0.0002593988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5443513,0.0003468286,0.4548614,0.00002252088,0.00007127022,0.0001679662,0.000002950195,0.0001333009,0.00004239268],"genre_scores_gemma":[0.9823556,0.0001689324,0.017109,0.00002429798,0.0002458179,0.00001244841,0.000005218847,0.00007773773,9.426291e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4380043,"threshold_uncertainty_score":0.9481891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009081695085569268,"score_gpt":0.2323510926508014,"score_spread":0.2232693975652321,"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."}}