{"id":"W2071825378","doi":"10.1109/ias.2013.6682494","title":"Embedded digital protection for IPMSM drives","year":2013,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland; University of New Brunswick","funders":"","keywords":"Transient (computer programming); Computer science; Synchronous motor; Fault (geology); Torque; Digital control; Frequency band; Electronic engineering; Control theory (sociology); Engineering; Electrical engineering; Bandwidth (computing); Control (management); Physics; Artificial intelligence; Telecommunications","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":[0.0002126916,0.0004146034,0.0002496916,0.0003001235,0.0001803403,0.0004104886,0.0005389071,0.0003526381,0.001814619],"category_scores_gemma":[0.00110379,0.0001155441,0.0001495454,0.0001485467,0.0003003989,0.0005817093,0.0003630306,0.0003540181,0.0004312985],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373251,"about_ca_system_score_gemma":0.0001408288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001131636,"about_ca_topic_score_gemma":0.0001120017,"domain_scores_codex":[0.9996589,0.00004594701,0.00002358476,0.00005813844,0.0001943829,0.00001902522],"domain_scores_gemma":[0.9995269,0.0001223702,0.00009319314,0.0001310727,0.0001098773,0.00001666599],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006248783,0.00009288384,0.002681,0.000947953,0.00004382128,0.0005992479,0.0003498356,0.01151991,0.5349246,0.003629977,0.001506394,0.4430796],"study_design_scores_gemma":[0.0001510487,0.002228435,0.008297876,0.0001551465,0.000108206,0.002926389,0.00007668357,0.1548022,0.7818664,0.002928905,0.04642355,0.00003506691],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1892353,0.001252119,0.8005288,0.0002460019,0.0001653064,0.0001578251,0.0001001442,0.002243183,0.006071413],"genre_scores_gemma":[0.930627,0.0003069597,0.06565045,0.00007565812,0.00003282741,0.00004325811,0.0000967887,0.00005630559,0.003110745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001814619,"threshold_uncertainty_score":0.006070554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007515782651645308,"score_gpt":0.2317185454527391,"score_spread":0.2242027628010938,"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."}}