{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000684233,0.0004401303,0.0005639374,0.002199577,0.0001423668,0.0006731891,0.0003634731,0.0001574653,0.0004011047],"category_scores_gemma":[0.0002188414,0.0003970502,0.0003614516,0.002302495,0.00006275427,0.000518009,0.00003070042,0.001012304,0.00005203572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009442185,"about_ca_system_score_gemma":0.00006202485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002860619,"about_ca_topic_score_gemma":0.0003941262,"domain_scores_codex":[0.9974415,0.0002653029,0.0007933311,0.0003737039,0.0005349343,0.0005912668],"domain_scores_gemma":[0.9990164,0.0003304129,0.00009356448,0.0003314307,0.00006133309,0.000166877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002632202,0.0003285275,0.1185491,0.001373174,0.001386804,0.001967157,0.001348653,0.4421967,0.02138283,0.001239176,0.008723151,0.4014784],"study_design_scores_gemma":[0.0001436864,0.0002291682,0.4077552,0.0006007776,0.000227224,0.0001441784,0.00001413405,0.5850663,0.003692637,0.00146109,0.0003140559,0.0003515829],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9851675,0.003483674,0.005005697,0.0002616093,0.0005567139,0.000297356,0.00002122239,0.002129914,0.003076287],"genre_scores_gemma":[0.9900989,0.0008318557,0.008380874,0.00005761243,0.0003097864,0.000118924,0.00001279133,0.0001155721,0.00007369898],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4011268,"threshold_uncertainty_score":0.9998481,"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."}}