{"id":"W2585046488","doi":"10.1002/we.2082","title":"Reliability based design of fluid power pitch systems for wind turbines","year":2017,"lang":"en","type":"article","venue":"Wind Energy","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Energiteknologisk udviklings- og demonstrationsprogram; Energistyrelsen","keywords":"Fault tree analysis; Failure mode, effects, and criticality analysis; Failure mode and effects analysis; Reliability engineering; Turbine; Wind power; Engineering; Offshore wind power; Reliability (semiconductor); Criticality; Computer science; Power (physics); Mechanical engineering; Electrical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009289338,0.0005870084,0.0004058853,0.0005810875,0.0002694154,0.0006985878,0.0005630414,0.0004543152,0.003047932],"category_scores_gemma":[0.002907548,0.0003592091,0.0004554247,0.0001326035,0.0005147922,0.0005000369,0.0004883719,0.0004056846,0.0002768969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005768264,"about_ca_system_score_gemma":0.000666331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001272138,"about_ca_topic_score_gemma":0.001096428,"domain_scores_codex":[0.9993969,0.0002188307,0.00002122217,0.00005620165,0.0002613132,0.00004560159],"domain_scores_gemma":[0.9989522,0.00060059,0.0001419499,0.00006133025,0.0002186121,0.00002532755],"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":[0.00007649359,0.00002169239,0.0005647629,0.0002001694,0.00001777921,0.0001415314,0.0001273802,0.9418355,0.01493051,0.006338334,0.0002541854,0.03549175],"study_design_scores_gemma":[0.00002150518,0.000186929,0.0003242058,0.00002822916,0.00001756137,0.00006040362,0.00003265179,0.9873114,0.006317677,0.004195516,0.001494106,0.000009886146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04558494,0.0001420428,0.9504538,0.0000672991,0.00001961402,0.0001214233,0.00004177135,0.00056,0.003009075],"genre_scores_gemma":[0.840426,0.0001293695,0.1574604,0.00002609299,0.000008196982,0.0001783869,0.00005595337,0.00007815058,0.001637441],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003047932,"threshold_uncertainty_score":0.01019639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01525980354397996,"score_gpt":0.2596722140836447,"score_spread":0.2444124105396648,"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."}}