{"id":"W4402306627","doi":"10.18280/ts.410412","title":"Adaptive Signal Filtering and Health Monitoring for Electric Motor Control Systems in New Energy Vehicles","year":2024,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Real-time simulation and control systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"People's Government of Jilin Province","keywords":"Energy (signal processing); SIGNAL (programming language); Computer science; Control (management); Electric organ; Control engineering; Engineering; Artificial intelligence; Medicine; Physics","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":[0.0003351365,0.0002060403,0.0003284271,0.000236343,0.00005459986,0.0001970765,0.0000767147,0.00006245842,0.0000168202],"category_scores_gemma":[0.000002252661,0.0002033069,0.00006970474,0.0001689589,0.000006429892,0.0001961941,0.000006735863,0.00009800133,0.000003477884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002251931,"about_ca_system_score_gemma":0.00007857741,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005239827,"about_ca_topic_score_gemma":0.00001990765,"domain_scores_codex":[0.9986749,0.00004774972,0.0004644952,0.0002453644,0.0001870017,0.0003804737],"domain_scores_gemma":[0.9995552,0.0001609248,0.00003906956,0.00006981157,0.0000214325,0.0001535546],"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":[0.000209883,0.00003919148,0.000660604,0.0008302516,0.0003857727,0.00002274401,0.0008629467,0.6711818,0.1351406,0.005677827,0.001381707,0.1836067],"study_design_scores_gemma":[0.001534494,0.0002395837,0.001482263,0.000327616,0.00001606051,0.000005774811,0.0001041442,0.9926927,0.0004846349,0.00007000045,0.002851349,0.0001913718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07661387,0.04106979,0.8773283,0.0003050103,0.001203182,0.00210555,0.00006407483,0.000842615,0.0004676395],"genre_scores_gemma":[0.9985631,0.00007957125,0.0001281504,0.00002503699,0.0008365368,0.00018144,0.000005546446,0.00004534041,0.0001352629],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9219493,"threshold_uncertainty_score":0.8290613,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02157865877410377,"score_gpt":0.2409051136450383,"score_spread":0.2193264548709345,"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."}}