{"id":"W2154883426","doi":"10.1109/ccece.2003.1226436","title":"Mechanical fault detection in induction motors","year":2004,"lang":"en","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Stator; Induction motor; Permeance; Rotor (electric); Fault detection and isolation; Bearing (navigation); Fault (geology); Frame (networking); Eccentricity (behavior); Computer science; Engineering; Control theory (sociology); Voltage; Mechanical engineering; Electrical engineering; Artificial intelligence; Geology; Actuator","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":[0.0001778397,0.0002419838,0.0002967788,0.0009191424,0.0001159702,0.0002524369,0.0002845055,0.0004484389,0.0003994],"category_scores_gemma":[0.001650817,0.0001096015,0.00009393955,0.000326678,0.0002628055,0.0003639003,0.0001496252,0.0001787518,0.0001721618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000156211,"about_ca_system_score_gemma":0.00006931563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003017978,"about_ca_topic_score_gemma":0.0002296337,"domain_scores_codex":[0.9997178,0.00004514864,0.00001261894,0.00005594329,0.0001412737,0.00002729366],"domain_scores_gemma":[0.9993687,0.000343627,0.0001178807,0.00003890471,0.000105272,0.00002558365],"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":[0.0009878865,0.00008749618,0.01381055,0.0003056839,0.00003212089,0.000700918,0.0001599872,0.0266957,0.4773031,0.001704181,0.0005735694,0.4776388],"study_design_scores_gemma":[0.00008339647,0.001743476,0.07289966,0.00007611098,0.00007198755,0.003093143,0.000148678,0.5087716,0.4002185,0.004501703,0.008341266,0.00005051036],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6487812,0.001407656,0.346596,0.0001245935,0.00004408441,0.0000346574,0.00007753149,0.001058388,0.001875892],"genre_scores_gemma":[0.9800829,0.0001675475,0.01912708,0.0000167381,0.00002207896,0.000006465986,0.00006407122,0.00001573143,0.0004973112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009191424,"threshold_uncertainty_score":0.001336157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00787760699803297,"score_gpt":0.2527015114440866,"score_spread":0.2448239044460537,"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."}}