{"id":"W2808900966","doi":"10.1016/j.isatra.2018.06.001","title":"Health condition identification of planetary gearboxes based on variational mode decomposition and generalized composite multi-scale symbolic dynamic entropy","year":2018,"lang":"en","type":"article","venue":"ISA Transactions","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":71,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; University of Toronto","funders":"","keywords":"Softmax function; Fault (geology); Vibration; Entropy (arrow of time); Control theory (sociology); Pattern recognition (psychology); Engineering; Algorithm; Computer science; Artificial intelligence; Artificial neural network; Acoustics; Physics; Geology","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":[0.0002404484,0.0002875312,0.0004009658,0.0004269734,0.0001730017,0.0003490138,0.0003018821,0.0003153106,0.0007484155],"category_scores_gemma":[0.0008724428,0.0001464217,0.0003254523,0.0001468714,0.0003664858,0.0005215644,0.0004377784,0.0002342126,0.00006387797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001919365,"about_ca_system_score_gemma":0.0002358098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001505521,"about_ca_topic_score_gemma":0.00150056,"domain_scores_codex":[0.9999163,0.0000220328,0.000004794062,0.00002151847,0.00002494111,0.00001046743],"domain_scores_gemma":[0.9997875,0.0001217711,0.00002931229,0.00001878451,0.00003330935,0.000009376126],"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":[0.0001682273,0.00004129089,0.005689487,0.000119904,0.00006862589,0.0001706098,0.0001555588,0.8918298,0.02067082,0.01330899,0.0003277072,0.06744906],"study_design_scores_gemma":[9.890229e-7,0.000004933762,0.0008175107,0.000002078786,0.000002332543,0.000009153254,0.000007798678,0.9971662,0.000378635,0.001575821,0.00003219457,0.000002275224],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2021615,0.0001849994,0.7959806,0.0000697138,0.00001775835,0.00002508919,0.00005661577,0.0001221759,0.001381502],"genre_scores_gemma":[0.9908246,0.00004099295,0.008748925,0.000004772377,0.000004084204,0.00001293927,0.00002498759,0.000007632553,0.0003309079],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001505521,"threshold_uncertainty_score":0.002993464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006979743514234022,"score_gpt":0.3158633217310622,"score_spread":0.3088835782168282,"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."}}