{"id":"W4392371045","doi":"10.18280/jesa.570124","title":"Bearing Fault Diagnosis in Induction Machines Based on Electromagnetic Torque Spectral Frequencies Analysis","year":2024,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Bearing (navigation); Fault (geology); Spectral analysis; Torque; Electromagnetic induction; Acoustics; Physics; Computer science; Control theory (sociology); Engineering; Electrical engineering; Geology; Seismology; Artificial intelligence; Electromagnetic coil","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002398265,0.0003020465,0.000273404,0.0009427466,0.0001128733,0.0003124618,0.0002364323,0.0003147244,0.0004777118],"category_scores_gemma":[0.001257502,0.00009282017,0.0001515674,0.0002865714,0.0002098347,0.0003807088,0.0001377359,0.0001921298,0.0001946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568698,"about_ca_system_score_gemma":0.0001553918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006790037,"about_ca_topic_score_gemma":0.0005676164,"domain_scores_codex":[0.999861,0.00002891421,0.00000940987,0.00001905416,0.0000683967,0.00001323459],"domain_scores_gemma":[0.9996264,0.0002037012,0.00006390978,0.00002433381,0.00007169197,0.00000989949],"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":[0.0008619028,0.0001605458,0.006226909,0.0004708153,0.00004940201,0.0005096823,0.0003075961,0.2149085,0.2534474,0.005657733,0.0008769762,0.5165225],"study_design_scores_gemma":[0.00001046514,0.0001306783,0.005740376,0.00002030142,0.00001866214,0.0002206181,0.00004628364,0.9555085,0.0359087,0.001641414,0.0007421291,0.00001188475],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1994977,0.000431707,0.7975313,0.00006127347,0.0000360742,0.00003749471,0.00005591098,0.0009553317,0.001393199],"genre_scores_gemma":[0.9644025,0.0001251909,0.03508717,0.000005761595,0.00001107474,0.000009477024,0.00003864541,0.0000204532,0.0002997941],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009427466,"threshold_uncertainty_score":0.00159806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138488903695651,"score_gpt":0.2625042297283233,"score_spread":0.2511193406913668,"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."}}