{"id":"W7127339197","doi":"10.1109/ccece64018.2025.11364400","title":"Multi-Channel Swin Transformer Framework for Bearing Remaining Useful Life Prediction","year":2025,"lang":"","type":"article","venue":"","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Predictive maintenance; Generalization; Noise (video); Metric (unit); Transformer; Robustness (evolution); Noise reduction","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004119991,0.0008332621,0.0006139249,0.0006154106,0.0001408518,0.0005177191,0.0009907434,0.0004408237,0.001224153],"category_scores_gemma":[0.0007443154,0.0002367131,0.0004877481,0.0004897388,0.0002260625,0.0008513505,0.0004423974,0.0007926841,0.0005380095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003985433,"about_ca_system_score_gemma":0.0005749426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005490602,"about_ca_topic_score_gemma":0.007731601,"domain_scores_codex":[0.9998776,0.00001870379,0.000005549296,0.00003456802,0.00003842934,0.00002518888],"domain_scores_gemma":[0.9998092,0.00005687772,0.0000232273,0.00002115134,0.00007588076,0.00001362461],"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":[0.0003647897,0.000169951,0.003817475,0.0001062881,0.00009408544,0.0001924594,0.00006697795,0.6410261,0.01759876,0.003522603,0.005125452,0.3279151],"study_design_scores_gemma":[0.000002431785,0.00002014926,0.0002494823,0.000002424336,0.000007734694,0.00001908835,0.000005635664,0.9973369,0.001380138,0.0006739465,0.0002984215,0.000003563078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06671263,0.0009688146,0.9270594,0.0002322944,0.0001156137,0.0000433241,0.0004777768,0.00221826,0.00217187],"genre_scores_gemma":[0.9164044,0.0007289469,0.07601251,0.0001504172,0.00007984997,0.00007236934,0.001020674,0.0001339158,0.005396935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005490602,"threshold_uncertainty_score":0.01091731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02645257210297786,"score_gpt":0.3182937928598306,"score_spread":0.2918412207568528,"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."}}