{"id":"W3011756031","doi":"10.23977/acss.2020.040101","title":"Fault diagnosis of wind turbine based on H-SKDB model","year":2020,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turbine; Wind power; Fault (geology); Bayesian network; Fault model; Reliability engineering; Engineering; Computer science; Artificial intelligence; Geology","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":[0.0001187578,0.0001508346,0.0002835283,0.00007865993,0.00004905245,0.00005328695,0.0004472999,0.00004255845,0.000001041224],"category_scores_gemma":[0.000008811775,0.0001344738,0.00004568503,0.0003601531,0.00003701847,0.0003513887,0.0001128982,0.0001013506,0.000002021188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001508387,"about_ca_system_score_gemma":0.00002516321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004119382,"about_ca_topic_score_gemma":4.959043e-7,"domain_scores_codex":[0.9987357,0.00004633295,0.0003863054,0.0004260179,0.0002468503,0.000158751],"domain_scores_gemma":[0.9991364,0.0002781825,0.0001612591,0.0002515446,0.00008039779,0.00009224475],"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":[0.000005049491,0.00004888859,0.0003335263,0.00005704328,0.00000260126,0.000003030433,0.00009921676,0.9435359,0.00005879741,0.03202935,0.0001096871,0.0237169],"study_design_scores_gemma":[0.0002619639,0.0002084447,0.0000731164,0.0001274289,0.000001636333,0.000001670019,0.000003525151,0.9901622,0.0004482825,0.00615463,0.002411251,0.0001458343],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002799108,0.001168445,0.99417,0.001134108,0.00007335946,0.0003054301,0.00001205159,0.00009084347,0.0002466266],"genre_scores_gemma":[0.8393104,0.0001596974,0.159381,0.0009976277,0.00007055946,0.00006575297,0.000003262405,0.000007770745,0.000003970084],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8365113,"threshold_uncertainty_score":0.5483683,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03105801624222907,"score_gpt":0.2937236529721592,"score_spread":0.2626656367299301,"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."}}