{"id":"W4285306189","doi":"10.1109/jproc.2022.3171691","title":"A Comprehensive Review on Signal-Based and Model-Based Condition Monitoring of Wind Turbines: Fault Diagnosis and Lifetime Prognosis","year":2022,"lang":"en","type":"review","venue":"Proceedings of the IEEE","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":285,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Concordia University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Wind power; Fault (geology); SIGNAL (programming language); Reliability engineering; Condition monitoring; Computer science; Environmental science; Medicine; Engineering; Seismology; Geology; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003015332,0.0006251624,0.001840023,0.000308417,0.00009358073,0.00003567258,0.0005005714,0.0002130879,0.0000218796],"category_scores_gemma":[0.0001671527,0.000487387,0.0003895414,0.0005181732,0.0001324835,0.0001131621,0.0001051969,0.000604121,6.191923e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001355341,"about_ca_system_score_gemma":0.00006069419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001152892,"about_ca_topic_score_gemma":1.429647e-7,"domain_scores_codex":[0.9978831,0.00003596653,0.0008562359,0.0004533852,0.0005102248,0.0002610642],"domain_scores_gemma":[0.9982314,0.0006092997,0.0006582705,0.0002172892,0.0001909301,0.00009283146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.00001692054,0.0002846409,0.001287182,0.7218416,0.0003895441,0.000001823723,0.00008290401,0.002546123,0.0001821793,0.00002308638,0.008140299,0.2652037],"study_design_scores_gemma":[0.0008537755,0.0007126587,0.0001134636,0.4887649,0.004740372,0.00001883677,0.00002815941,0.02288417,0.02634509,0.000163732,0.4535448,0.001830071],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0039502,0.9924304,0.00001158658,0.00006830029,0.0001071282,0.002903405,0.0002016865,0.000217023,0.0001102802],"genre_scores_gemma":[0.007986519,0.9887906,0.000921652,0.00008177631,0.00006400986,0.002003671,0.00001907003,0.0001287598,0.000003886758],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4454045,"threshold_uncertainty_score":0.9997578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03820865682347092,"score_gpt":0.3175477184655352,"score_spread":0.2793390616420643,"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."}}