{"id":"W4245452257","doi":"10.1109/ias.1988.25060","title":"The detection of broken bars in the cage rotor of an induction machine","year":2003,"lang":"en","type":"article","venue":"Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Electromagnetic coil; Stator; Harmonics; Vibration; Torque; Acoustics; Squirrel-cage rotor; Rotor (electric); Harmonic analysis; Engineering; Structural engineering; Mechanical engineering; Voltage; Electrical engineering; Induction motor; Physics; Electronic engineering","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":[0.0001996027,0.0003373728,0.0003299687,0.0009193377,0.000229107,0.0001992401,0.0006088269,0.0005850591,0.0008390009],"category_scores_gemma":[0.001371215,0.0002977353,0.0001439064,0.0003568446,0.0003901402,0.0004661263,0.00019377,0.0003506871,0.000326687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001655858,"about_ca_system_score_gemma":0.0001596059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002848265,"about_ca_topic_score_gemma":0.0009410643,"domain_scores_codex":[0.9996791,0.00005063726,0.00001258183,0.00004906906,0.0001888107,0.00001986608],"domain_scores_gemma":[0.9990357,0.0003263121,0.0002153926,0.0001261493,0.0002593872,0.00003706644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001900865,0.00005018197,0.003629373,0.0002646908,0.00001962304,0.0007152411,0.0001275831,0.003284967,0.8926815,0.001159355,0.0005831348,0.09729431],"study_design_scores_gemma":[0.00005538148,0.001270284,0.0296019,0.00008008392,0.00007956124,0.009561935,0.0001186888,0.1288244,0.8191414,0.00200251,0.009178126,0.00008580147],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2634761,0.001115911,0.7318028,0.00009673789,0.00009279446,0.00008793783,0.0001574743,0.001778951,0.001391316],"genre_scores_gemma":[0.6477636,0.0004282106,0.3503563,0.00004249056,0.0000210981,0.00004972337,0.0002052182,0.0000651731,0.001068142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009193377,"threshold_uncertainty_score":0.002806723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01524426613702815,"score_gpt":0.2713235339625069,"score_spread":0.2560792678254787,"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."}}