{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003342754,0.0004115182,0.0004528107,0.0006532002,0.0001728299,0.000259204,0.00047853,0.0005560648,0.0006900221],"category_scores_gemma":[0.001147943,0.0001844183,0.0001824637,0.0004366279,0.0002944062,0.0006749259,0.0002264609,0.0002051745,0.0001821263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00014919,"about_ca_system_score_gemma":0.0001415869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005735653,"about_ca_topic_score_gemma":0.000995056,"domain_scores_codex":[0.9996191,0.00003928311,0.00001947572,0.00007874419,0.0002224008,0.00002098841],"domain_scores_gemma":[0.9993469,0.0002089817,0.000158242,0.00004027657,0.0002205288,0.00002506698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003835913,0.0001105699,0.0102849,0.0002449678,0.00002769396,0.0003873394,0.0002589392,0.003545704,0.9171675,0.0002144682,0.0003187848,0.06705553],"study_design_scores_gemma":[0.00008543015,0.002227964,0.06604837,0.00004628449,0.0001404186,0.001718666,0.0003739895,0.1937515,0.7321907,0.0004057305,0.002919277,0.00009167817],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8865492,0.001056165,0.1102445,0.0001393343,0.0001966308,0.00004454092,0.0001051316,0.0006028815,0.001061482],"genre_scores_gemma":[0.983563,0.0002755764,0.01552112,0.00002201971,0.00002445493,0.000009015859,0.00003692161,0.00001122237,0.0005365991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006900221,"threshold_uncertainty_score":0.002308309,"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."}}