{"id":"W2802128272","doi":"10.1139/tcsme-2016-0086","title":"RESEARCH ON CONDITION MONITORING OF SPEED REDUCER OF INDUSTRIAL ROBOT WITH ACOUSTIC EMISSION","year":2016,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Reducer; Robot; Industrial robot; Automation; SIGNAL (programming language); Factory (object-oriented programming); Automotive engineering; Engineering; Transmission (telecommunications); Bearing (navigation); Welding; Vibration; Computer science; Mechanical engineering; Acoustics; Artificial intelligence; Electrical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002918355,0.00009634168,0.0001857193,0.00009857778,0.00008267782,0.000005162876,0.0001468723,0.0001718181,0.00001692207],"category_scores_gemma":[0.00003548026,0.0000659077,0.00021924,0.0003126291,0.00003873625,0.00005154363,0.000002009221,0.0002267903,4.193553e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003286104,"about_ca_system_score_gemma":0.0001058292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125902,"about_ca_topic_score_gemma":0.0005964963,"domain_scores_codex":[0.9991699,0.00001456067,0.0002434793,0.0001015213,0.0002430074,0.000227566],"domain_scores_gemma":[0.9993623,0.0001709455,0.0000361675,0.0002001112,0.0001028525,0.0001276329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00003188347,0.000009986692,0.000003705901,0.0001035563,0.0001334927,9.699757e-8,0.00006919491,0.3373692,0.659932,0.0001477654,0.00007175446,0.002127422],"study_design_scores_gemma":[0.001297439,0.0002229523,0.00004390277,0.0008996415,0.00006639548,0.000003188735,0.0003849083,0.07398076,0.9226193,0.00003195993,0.0003175171,0.0001320174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7310181,0.00007050199,0.2649601,0.0004073523,0.00188463,0.001127079,0.0002838343,0.0001302418,0.0001180787],"genre_scores_gemma":[0.9994188,0.000007063851,0.0003570542,0.000001482427,0.00008060825,0.0000259594,6.365713e-7,0.00002819126,0.00008020716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2684007,"threshold_uncertainty_score":0.2687638,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03788113399462516,"score_gpt":0.2686888576084394,"score_spread":0.2308077236138142,"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."}}