{"id":"W1918349052","doi":"10.1016/j.renene.2015.06.041","title":"Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions","year":2015,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":125,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Program for New Century Excellent Talents in University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Turbine; Kalman filter; Control theory (sociology); Fault (geology); Time–frequency analysis; Wind power; Filter (signal processing); Instantaneous phase; Energy (signal processing); SIGNAL (programming language); Computer science; Engineering; Acoustics; Geology; Mathematics; Artificial intelligence; Aerospace 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":[0.0001161598,0.000264926,0.0003803881,0.0005170743,0.00005757619,0.00002599737,0.0001246226,0.0001681693,0.0003038448],"category_scores_gemma":[0.00003560215,0.0002658379,0.0001025265,0.0006086988,0.0000606911,0.0001530418,0.00001839169,0.00005697266,0.000002845809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009177439,"about_ca_system_score_gemma":0.00005301901,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004520238,"about_ca_topic_score_gemma":0.001759647,"domain_scores_codex":[0.9987636,0.00006140036,0.0003652776,0.0003076571,0.0002578432,0.0002442136],"domain_scores_gemma":[0.9988979,0.0003616112,0.00009159247,0.0003372104,0.0001687704,0.0001429771],"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":[0.00001924602,0.0001059476,0.00194685,0.00002730431,0.0002982305,0.000003088684,0.00001798115,0.9613687,0.0009935943,0.0007865527,0.0342328,0.000199714],"study_design_scores_gemma":[0.0009325588,0.0002983796,0.004399541,0.00005714517,0.0004581948,0.000001785006,0.00001099073,0.9482646,0.02507946,0.003510629,0.01651383,0.0004728728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3971861,0.004772357,0.5205857,0.002801146,0.001118984,0.001611749,0.005227827,0.003986877,0.0627092],"genre_scores_gemma":[0.9885217,0.0001123728,0.005949846,0.0004600917,0.0001087254,0.0003176784,0.003676444,0.00006908398,0.0007840418],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5913356,"threshold_uncertainty_score":0.9999794,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01400130774094703,"score_gpt":0.2633798601467433,"score_spread":0.2493785524057963,"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."}}