{"id":"W4413967177","doi":"10.1109/tte.2025.3605562","title":"An Efficient Analytical Solution to Speed-Extended Fault-Tolerant Control of Dual Three-Phase PMSMs Under Open-Phase Fault","year":2025,"lang":"en","type":"article","venue":"IEEE Transactions on Transportation Electrification","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"National Natural Science Foundation of China; Department of Science and Technology of Shandong Province","keywords":"Dual (grammatical number); Fault (geology); Phase (matter); Fault tolerance; Control (management); Computer science; Control theory (sociology); Physics; Distributed computing; Artificial intelligence; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004242351,0.0002790237,0.0004443023,0.0006088131,0.0002381135,0.00004943154,0.0003093348,0.0004217025,0.00004529358],"category_scores_gemma":[0.000007000444,0.0003012379,0.0001387813,0.001161737,0.00007130632,0.0002120202,5.220385e-8,0.0004613853,0.00002231624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002032391,"about_ca_system_score_gemma":0.0001224009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001063711,"about_ca_topic_score_gemma":0.0003178887,"domain_scores_codex":[0.997942,0.00008706509,0.0008768386,0.0004381555,0.0002905435,0.0003653637],"domain_scores_gemma":[0.9989654,0.00008249548,0.0001158809,0.0004755245,0.0002375658,0.0001231191],"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":[0.001044323,0.001156719,0.000002909934,0.00002417985,0.0001732515,0.000002062817,0.000137101,0.5823015,0.3720116,0.006809811,0.00003065277,0.03630592],"study_design_scores_gemma":[0.007887853,0.0006862184,0.000459919,0.00005395681,0.0002982209,0.000001766316,0.0001177321,0.6339524,0.3559665,0.0002196398,0.00009849386,0.0002573003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2478365,0.00003610436,0.7494231,0.0003995807,0.0004005476,0.001294744,0.0001884662,0.0003075096,0.0001134809],"genre_scores_gemma":[0.9992453,0.000009304643,0.0001864664,0.00009113562,0.00003361922,0.0002127951,0.000113374,0.00003166627,0.00007629259],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7514089,"threshold_uncertainty_score":0.999944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0190858559791039,"score_gpt":0.3046994150728145,"score_spread":0.2856135590937106,"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."}}