{"id":"W2786447778","doi":"10.1109/epec.2017.8286176","title":"Temperature estimation and vibration monitoring for induction motors","year":2017,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Induction motor; Vibration; Condition monitoring; Control engineering; Electric motor; Engineering; Computer science; Automotive engineering; Mechanical engineering; Electrical engineering; Voltage; Physics; Acoustics","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":[0.0002291571,0.0006250154,0.0005643021,0.001108752,0.000167599,0.0004638662,0.0005956253,0.0006898508,0.0008902853],"category_scores_gemma":[0.0006754762,0.0002519543,0.0004094872,0.001209788,0.000199864,0.0008670924,0.0002980499,0.0003515237,0.0006622542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376656,"about_ca_system_score_gemma":0.0002356192,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007401095,"about_ca_topic_score_gemma":0.0005345255,"domain_scores_codex":[0.9994926,0.00006074485,0.00003943067,0.0001534593,0.0002272144,0.00002647437],"domain_scores_gemma":[0.9997162,0.00008515592,0.00007245639,0.0000133176,0.0001054203,0.000007363908],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001828515,0.00006655123,0.001680078,0.003784156,0.00006902654,0.0003054979,0.0001317195,0.01207363,0.1440059,0.002714208,0.00353273,0.8314536],"study_design_scores_gemma":[0.00004861383,0.001607342,0.04355662,0.002072156,0.0006549126,0.003679387,0.0004889492,0.2324815,0.4314282,0.01106413,0.272578,0.0003402457],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04568961,0.4231063,0.5154084,0.000567414,0.0006915564,0.0001384955,0.0004028525,0.001039843,0.0129554],"genre_scores_gemma":[0.6121628,0.2569103,0.1083187,0.0003797731,0.001467595,0.0001945438,0.001072419,0.0001206042,0.01937334],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001108752,"threshold_uncertainty_score":0.002978325,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293338590704292,"score_gpt":0.3017728382979514,"score_spread":0.2888394523909085,"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."}}