{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003230705,0.000190448,0.0003101454,0.00007169355,0.0000914894,0.00005758013,0.0004172356,0.0001475892,0.00002655342],"category_scores_gemma":[0.0002160724,0.0001752489,0.00009413405,0.00003997259,0.0000538729,0.000144182,0.00003372091,0.00006122831,0.00000193768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004908145,"about_ca_system_score_gemma":0.00002342046,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005706372,"about_ca_topic_score_gemma":0.000007758836,"domain_scores_codex":[0.9990702,0.00003474938,0.0002964355,0.0002148099,0.0001475725,0.0002362208],"domain_scores_gemma":[0.9986249,0.0001867298,0.00008746076,0.0009307431,0.0001049692,0.0000651947],"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":[0.00008005546,0.000164071,0.001770027,0.0005789936,0.00008854763,0.000005663095,0.0001063048,0.8802116,0.06085828,0.001966464,0.05248874,0.001681235],"study_design_scores_gemma":[0.0007939655,0.0002238249,0.004642494,0.0002086075,0.00003973192,0.000002387364,0.00001193585,0.6908267,0.2540801,0.0006701106,0.04801178,0.0004882807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4705773,0.001536174,0.5149314,0.000262707,0.0021187,0.00122783,0.0001406112,0.001409199,0.007796123],"genre_scores_gemma":[0.9948148,0.00003650912,0.00476602,0.00003005341,0.0001174255,0.00008309574,0.00001127124,0.00005208805,0.00008872314],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5242376,"threshold_uncertainty_score":0.7146443,"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."}}