{"id":"W4415906224","doi":"10.4236/ica.2025.164007","title":"A New Evolving Technology for Gearbox Condition Monitoring and Fault Diagnosis","year":2025,"lang":"","type":"article","venue":"Intelligent Control and Automation","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Condition monitoring; Kalman filter; Fuzzy logic; Fault (geology); Classifier (UML); Fault detection and isolation; Prognostics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004520788,0.0003692771,0.0004027188,0.001214956,0.0002999179,0.0004813947,0.0007001407,0.0006388567,0.0009485897],"category_scores_gemma":[0.001167271,0.0001494694,0.0003372519,0.000995202,0.0003323811,0.001262812,0.0004613021,0.000598963,0.0003072341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004202358,"about_ca_system_score_gemma":0.0002898832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001508865,"about_ca_topic_score_gemma":0.001060996,"domain_scores_codex":[0.9995202,0.00005184779,0.00002654194,0.000113466,0.0002643734,0.00002352742],"domain_scores_gemma":[0.9996238,0.00009591829,0.00004491978,0.00006057914,0.0001558081,0.00001897112],"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":[0.000101314,0.00004319898,0.003476481,0.0002456488,0.00005102517,0.0001712925,0.0002454062,0.0163359,0.1484591,0.007340064,0.001648862,0.8218817],"study_design_scores_gemma":[0.0000408536,0.0005164844,0.01575574,0.0001446819,0.000174165,0.00196736,0.0002270219,0.7410795,0.167206,0.01633396,0.05642667,0.000127519],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0378473,0.002748507,0.9551834,0.0002073008,0.0001472573,0.00005965749,0.0001128995,0.0009671891,0.002726462],"genre_scores_gemma":[0.5885817,0.002713153,0.4040379,0.0002060819,0.0001395615,0.00009232239,0.0002353841,0.00005462606,0.003939318],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001508865,"threshold_uncertainty_score":0.003173292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006793894915955155,"score_gpt":0.2893437895248162,"score_spread":0.282549894608861,"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."}}