{"id":"W7074169122","doi":"","title":"Wind turbine condition monitoring based on SCADA data using normal behavior models:Part 1: System description","year":2013,"lang":"en","type":"article","venue":"Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU)","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Condition monitoring; Turbine; SCADA; Wind power; Deformation monitoring; Control system","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":[0.0004184026,0.0007601376,0.000719255,0.0006996971,0.0002164687,0.0007599312,0.0007431619,0.0006917291,0.004014615],"category_scores_gemma":[0.001476735,0.0003956007,0.0005590892,0.0005872885,0.0002287635,0.001000686,0.0002561334,0.000499776,0.001285011],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005179331,"about_ca_system_score_gemma":0.0004836303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01195606,"about_ca_topic_score_gemma":0.006555682,"domain_scores_codex":[0.9996665,0.0000770254,0.00003653976,0.0001146105,0.00007797624,0.00002739451],"domain_scores_gemma":[0.9994161,0.0002659878,0.00007891883,0.00008269818,0.0001395715,0.00001679821],"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":[0.0002752806,0.0001141046,0.01531558,0.0002407908,0.0000991379,0.0003303692,0.00008565576,0.9199203,0.005400039,0.005058116,0.004953741,0.04820692],"study_design_scores_gemma":[0.00001611973,0.00004849463,0.005053397,0.00001213868,0.00002329815,0.00007900727,0.000008905049,0.9899636,0.001175933,0.002071003,0.0015302,0.00001791118],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.286855,0.0007178055,0.6658672,0.0004695143,0.000147366,0.0007494492,0.02703612,0.006224302,0.01193317],"genre_scores_gemma":[0.957604,0.0004252994,0.02349515,0.0000351212,0.00004874724,0.0004119204,0.01256639,0.0001107842,0.005302661],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01195606,"threshold_uncertainty_score":0.02377295,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08738898061913611,"score_gpt":0.2144974375226013,"score_spread":0.1271084569034652,"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."}}