{"id":"W1984669710","doi":"10.1016/j.ymssp.2014.07.009","title":"Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions","year":2014,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":207,"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":"Instantaneous phase; Time–frequency analysis; Demodulation; Algorithm; SIGNAL (programming language); Computer science; Representation (politics); Component (thermodynamics); Time–frequency representation; Frequency modulation; Mathematics; Control theory (sociology); Artificial intelligence; Computer vision; Physics; Telecommunications","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":[],"consensus_categories":[],"category_scores_codex":[0.0003064285,0.0002088833,0.000402228,0.00009738789,0.0001473639,0.00007738874,0.00009254535,0.000137764,0.0000222183],"category_scores_gemma":[0.00002377789,0.000184841,0.00006608356,0.0001118608,0.00003767561,0.0001818688,0.00001232724,0.0001370072,7.03477e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003614067,"about_ca_system_score_gemma":0.00001709883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006821527,"about_ca_topic_score_gemma":0.00002028463,"domain_scores_codex":[0.9988328,0.0000546179,0.000476217,0.000229669,0.0001802841,0.0002263864],"domain_scores_gemma":[0.9992896,0.0003573907,0.00008310883,0.00008506309,0.00009048993,0.00009438522],"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":[0.0003120493,0.0008006085,0.002296356,0.01980104,0.0009852012,0.00002412717,0.003101864,0.4104715,0.3193343,0.08992635,0.004503162,0.1484435],"study_design_scores_gemma":[0.0008236038,0.0002226548,0.0001985943,0.0008175019,0.00007574327,0.00001840732,0.0000884414,0.9561887,0.03478765,0.005361579,0.001083758,0.0003334082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2725965,0.001785239,0.7231978,0.0001936635,0.0001172336,0.001073424,0.0002644311,0.0003516744,0.0004200967],"genre_scores_gemma":[0.9956737,0.00005143235,0.003586772,0.00007219626,0.0001300485,0.0002982876,0.0001396927,0.00003768427,0.00001021966],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7230772,"threshold_uncertainty_score":0.7537596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278823377562587,"score_gpt":0.2626215402195604,"score_spread":0.2498333064439345,"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."}}