{"id":"W4365814139","doi":"10.1139/tcsme-2022-0175","title":"Speed monitoring and fault detection in bearings using an embedded piezoelectric transducer under speed-varying condition","year":2023,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Transducer; Accelerometer; Vibration; Condition monitoring; Bearing (navigation); Rotational speed; Acoustics; Fault detection and isolation; Fault (geology); Noise (video); Piezoelectric sensor; Piezoelectricity; Automotive engineering; Computer science; Engineering; Electrical engineering; Mechanical engineering; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000212389,0.0001472029,0.0001875568,0.0002351234,0.0001824239,0.0000392863,0.0001185885,0.0001652546,0.00000554702],"category_scores_gemma":[0.000009089306,0.0001594406,0.0002554824,0.0009142082,0.00001629222,0.0001555505,0.000003620878,0.0002935845,5.240082e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003969618,"about_ca_system_score_gemma":0.00004029793,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006616319,"about_ca_topic_score_gemma":0.007970449,"domain_scores_codex":[0.9991083,0.000007384876,0.000222765,0.0001756815,0.0001278734,0.0003580462],"domain_scores_gemma":[0.9996096,0.0000414845,0.00002024063,0.0001529209,0.00003171553,0.0001440357],"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":[0.000001517306,0.000004718931,0.000008485082,0.00006890032,0.00007501314,2.787604e-7,0.000240422,0.8181428,0.1800472,0.00004231425,4.729395e-7,0.001367836],"study_design_scores_gemma":[0.0002650933,0.00001709189,0.0003741817,0.00004422635,0.0001006963,0.000004607519,0.000203871,0.9647226,0.03394959,0.0001496101,0.000008163062,0.0001602701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8062416,0.00002878836,0.1930804,0.0000326607,0.0002684921,0.000190527,0.00002344791,0.0001288776,0.000005216222],"genre_scores_gemma":[0.9983585,0.00002849376,0.001486865,0.000005709517,0.00004088866,0.000007811117,0.000006342383,0.00004966444,0.00001575637],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1921169,"threshold_uncertainty_score":0.9999987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0172123356147682,"score_gpt":0.2321589237990641,"score_spread":0.2149465881842959,"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."}}