{"id":"W4404294032","doi":"10.1109/tpel.2024.3496532","title":"Detecting and Localizing Open-Circuit Switch Faults in MMCs Using a Model Informed Estimation Scheme With Low Computational Complexity","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Power Electronics","topic":"HVDC Systems and Fault Protection","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"AltaLink; Alberta Electric System Operator","keywords":"Scheme (mathematics); Computational complexity theory; Computer science; Estimation; Electronic engineering; Algorithm; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003776759,0.0008199833,0.0005663907,0.0003556672,0.0002868303,0.0007277549,0.0008097193,0.0006568782,0.0009265702],"category_scores_gemma":[0.002000605,0.0002662881,0.0003697133,0.0002446773,0.0004465843,0.001047235,0.0009508578,0.000894998,0.0003024643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005008297,"about_ca_system_score_gemma":0.0006973469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002298508,"about_ca_topic_score_gemma":0.002896227,"domain_scores_codex":[0.9996977,0.00006385458,0.00001962755,0.00007494947,0.0001137084,0.0000301546],"domain_scores_gemma":[0.9992655,0.0002677173,0.0001930169,0.0001487242,0.0001019725,0.00002314305],"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":[0.000296914,0.000114356,0.002215726,0.0002136271,0.0000601815,0.0001377608,0.0002808514,0.7052351,0.04323957,0.01004116,0.0009638177,0.237201],"study_design_scores_gemma":[0.000009876906,0.0000631424,0.0002934674,0.000009766801,0.000007488537,0.00003332099,0.00001328845,0.9926887,0.004942586,0.001517989,0.0004096002,0.00001070449],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01098908,0.00005901697,0.9879056,0.00005287403,0.00001218647,0.00002172517,0.00001599767,0.0004128407,0.0005307052],"genre_scores_gemma":[0.8971397,0.0001043028,0.1013948,0.00008585698,0.00002145078,0.00008360227,0.00007838681,0.00004080091,0.001051108],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002298508,"threshold_uncertainty_score":0.004570305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02856968121071149,"score_gpt":0.2759415672308589,"score_spread":0.2473718860201474,"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."}}