{"id":"W2771271990","doi":"10.21595/vp.2017.19336","title":"Faulty bearing features by variational mode decomposition","year":2017,"lang":"en","type":"article","venue":"Vibroengineering PROCEDIA","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bearing (navigation); Modal; Decomposition; Computer science; Algorithm; Mode (computer interface); Identification (biology); Artificial intelligence; Materials science; Chemistry","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":[0.00008396284,0.0002665569,0.0002010627,0.0001096659,0.0002203551,0.0002662459,0.000452796,0.0001349891,0.00002471047],"category_scores_gemma":[0.0001073619,0.0002967841,0.00006531982,0.0000586829,0.00002266754,0.0005137459,0.00007865277,0.0002985938,0.00002284148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001012373,"about_ca_system_score_gemma":0.00001081042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005053618,"about_ca_topic_score_gemma":0.000009635341,"domain_scores_codex":[0.9989594,0.000004767956,0.0002112605,0.000246182,0.0002278556,0.0003505592],"domain_scores_gemma":[0.9992989,0.00003893123,0.00005283867,0.0004465656,0.00004321916,0.0001195783],"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":[0.00002947899,0.0001737241,0.01162275,0.001128961,0.0003231116,0.00002742552,0.0006609936,0.3998125,0.358568,0.007501656,0.2007906,0.0193608],"study_design_scores_gemma":[0.0006440142,0.00005544574,0.08064047,0.00023726,0.00004483968,0.00004651657,0.000005498209,0.7068128,0.1966344,0.0009767769,0.01286634,0.001035639],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3504317,0.001503988,0.6100843,0.0007784512,0.002248629,0.001187272,0.000367132,0.0105047,0.02289389],"genre_scores_gemma":[0.9748161,0.00008758916,0.02439415,0.00002976966,0.0002613176,0.0001448019,0.00009464286,0.00008698207,0.0000846249],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6243845,"threshold_uncertainty_score":0.9999484,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005398839531649249,"score_gpt":0.2949664438256787,"score_spread":0.2895676042940294,"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."}}