{"id":"W4385431880","doi":"10.18280/jesa.560310","title":"A Methodology for Fault Tolerant Control of Brushless DC Motors with Damaged Hall-Effect Sensors Using Electronic Logic Gates","year":2023,"lang":"fr","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Electric Power Systems and Control","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hall effect sensor; DC motor; Computer science; Electrical engineering; Fault tolerance; Control engineering; Control (management); Control theory (sociology); Electronic engineering; Engineering; Artificial intelligence; Magnet; Distributed computing","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004229942,0.0007867561,0.002120511,0.0007220923,0.0004355776,0.0002341082,0.0005277462,0.0003932364,0.00005549356],"category_scores_gemma":[0.0006950442,0.0006405395,0.0006051991,0.001215053,0.000220833,0.000376826,0.00004719022,0.0009817466,0.00003902194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007929829,"about_ca_system_score_gemma":0.0005076487,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005575459,"about_ca_topic_score_gemma":0.0001000244,"domain_scores_codex":[0.9926968,0.002677609,0.001592697,0.0004984117,0.0005762295,0.001958315],"domain_scores_gemma":[0.9949116,0.002829767,0.0009950008,0.0004519305,0.000475594,0.0003361626],"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":[0.001088795,0.0001686956,0.00247563,0.00635514,0.006412478,0.001299664,0.002887083,0.6101246,0.1815298,0.009708142,0.001163956,0.176786],"study_design_scores_gemma":[0.006935645,0.003638771,0.01441938,0.002362889,0.00132674,0.005832573,0.0003392177,0.9545689,0.005587459,0.002829096,0.001266344,0.0008930189],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6295879,0.02372079,0.3425842,0.000381262,0.00157642,0.001527186,0.00007750039,0.0003870408,0.0001577057],"genre_scores_gemma":[0.9882664,0.0006377975,0.008632702,0.00004232752,0.0006321259,0.00008906925,0.000006410442,0.0002520674,0.001441116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3586784,"threshold_uncertainty_score":0.9996046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03099627711046028,"score_gpt":0.280632034650628,"score_spread":0.2496357575401678,"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."}}