{"id":"W4391216571","doi":"10.1109/peas58692.2023.10395479","title":"An Open-Circuit Fault Diagnosis for Three-Level Inverters Based on S transform -SVD and IM-DBN","year":2023,"lang":"en","type":"article","venue":"","topic":"Power Systems and Renewable Energy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Singular value decomposition; Deep belief network; Fault (geology); Reliability (semiconductor); Computer science; Interference (communication); Power (physics); Artificial intelligence; Inverter; Algorithm; Eigenvalues and eigenvectors; Pattern recognition (psychology); Deep learning; Control theory (sociology); Voltage; Electronic engineering; Engineering; Telecommunications; Electrical engineering; Physics; Channel (broadcasting)","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":[],"consensus_categories":[],"category_scores_codex":[0.0003327875,0.0002502907,0.0003430613,0.0001866042,0.0002310426,0.0001825445,0.0004515981,0.0001751504,0.0002294903],"category_scores_gemma":[0.00002478175,0.0001915248,0.00008916031,0.0003272009,0.00004575228,0.0002768932,0.00003730723,0.00006690098,0.00004045857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000520099,"about_ca_system_score_gemma":0.00006318618,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02059742,"about_ca_topic_score_gemma":0.06525111,"domain_scores_codex":[0.9984739,0.00003922684,0.0003010003,0.0004983495,0.0002221795,0.0004653638],"domain_scores_gemma":[0.9990223,0.0002041359,0.00004731857,0.0004390083,0.00004530974,0.0002419361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003502324,0.0006967433,0.004856177,0.0003725629,0.0003256325,0.00005499769,0.001026204,0.04768699,0.003960411,0.2015926,0.07570481,0.6633727],"study_design_scores_gemma":[0.006884934,0.001640901,0.008161791,0.0002345771,0.00007801547,0.000005856485,0.0007786467,0.543987,0.0183951,0.01032223,0.4082833,0.001227716],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2166351,0.0003081043,0.2891245,0.01128893,0.006155886,0.005807102,0.001101144,0.002800485,0.4667787],"genre_scores_gemma":[0.9913059,0.00004121745,0.0002121275,0.001306111,0.0001409687,0.0007711475,0.0001434247,0.00007332596,0.006005793],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7746708,"threshold_uncertainty_score":0.9859245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06664048763948084,"score_gpt":0.2827292296933574,"score_spread":0.2160887420538766,"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."}}