{"id":"W7127437556","doi":"10.1109/ccece64018.2025.11364377","title":"Anomaly Detection for Induction Motors Based on Unsupervised Online Machine Learning","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Induction motor; Robustness (evolution); Cluster analysis; Stator; Anomaly detection; Condition monitoring; Fault detection and isolation; Unsupervised learning","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005340886,0.0006518242,0.0005599562,0.001251226,0.0003578701,0.0001361257,0.0002989667,0.0005378031,0.0003946796],"category_scores_gemma":[0.000705393,0.0007035374,0.0003485307,0.001063258,0.0000421312,0.0002453755,0.00005977415,0.001028052,0.00001516417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005914549,"about_ca_system_score_gemma":0.0000744617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007678233,"about_ca_topic_score_gemma":0.0006112928,"domain_scores_codex":[0.9974123,0.0001608032,0.0007984189,0.0007521039,0.0002860373,0.0005903071],"domain_scores_gemma":[0.9984567,0.0005502783,0.0001193858,0.00055856,0.000184584,0.0001304488],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007362172,0.001654404,0.0169245,0.001964466,0.0003702143,0.000005038708,0.0001304255,0.3573869,0.07317746,0.0009556973,0.001565189,0.5451295],"study_design_scores_gemma":[0.001464156,0.0008632212,0.006169848,0.0003247017,0.0001385506,8.759953e-7,0.00003929944,0.819903,0.152327,0.0001484304,0.01813063,0.0004902874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3236115,0.0003703341,0.6610795,0.001269485,0.001849972,0.002890566,0.0001251958,0.003172952,0.005630556],"genre_scores_gemma":[0.9818681,0.0001586015,0.01506996,0.0004763243,0.0002797563,0.0004745759,0.0002326879,0.0001344374,0.001305498],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6582567,"threshold_uncertainty_score":0.9995416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140229480595676,"score_gpt":0.2805904860796116,"score_spread":0.2691881912736548,"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."}}