{"id":"W4319839797","doi":"10.1177/14759217221147018","title":"A cyclostationarity-based wear monitoring framework of spur gears in intelligent manufacturing systems","year":2023,"lang":"en","type":"article","venue":"Structural Health Monitoring","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Spall; Tooth surface; Cyclostationary process; Transmission (telecommunications); Surface roughness; Automotive engineering; Vibration; Engineering; Acoustic emission; Tooth wear; Computer science; Mechanism (biology); Mechanical engineering; Structural engineering; Materials science; Acoustics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005392144,0.0006222263,0.0004375098,0.001048798,0.0002321412,0.0008172406,0.0006910599,0.0004237928,0.0004773255],"category_scores_gemma":[0.001275273,0.0002253562,0.0005220954,0.0005826211,0.0005413792,0.0007098409,0.0004986338,0.0005127684,0.0001568983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004742642,"about_ca_system_score_gemma":0.000461825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585328,"about_ca_topic_score_gemma":0.002806824,"domain_scores_codex":[0.9996341,0.00008403043,0.00002411858,0.00009556565,0.0001225615,0.00003961999],"domain_scores_gemma":[0.999645,0.0001246753,0.00007882039,0.00003848362,0.00009432503,0.00001866154],"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":[0.0001902991,0.0001458466,0.006011755,0.0002812344,0.0001534501,0.0007881421,0.0004529118,0.6851153,0.04359891,0.04602459,0.001490795,0.2157467],"study_design_scores_gemma":[0.000002412874,0.00004334374,0.001185519,0.00000716929,0.00001347327,0.00004489713,0.00002333485,0.9940149,0.001325278,0.002791316,0.0005396487,0.000008687874],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02661923,0.0006056534,0.9711481,0.00007989252,0.00002222512,0.0000307401,0.00004150885,0.0002254569,0.001227098],"genre_scores_gemma":[0.8876582,0.000781281,0.109965,0.00003856581,0.00008346557,0.00005698157,0.0001056515,0.0000272269,0.001283595],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005585328,"threshold_uncertainty_score":0.01110566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02154726260584211,"score_gpt":0.3018603841978886,"score_spread":0.2803131215920465,"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."}}