{"id":"W2976348751","doi":"10.36001/phmconf.2019.v11i1.765","title":"Bearing Condition Monitoring based on the Indicator Generated in Time-frequency Domain","year":2019,"lang":"en","type":"article","venue":"Annual Conference of the PHM Society","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Condition monitoring; Bearing (navigation); Frequency domain; Computer science; Fault (geology); Time domain; Fault detection and isolation; Vibration; SIGNAL (programming language); Gaussian; Real-time computing; Control theory (sociology); Artificial intelligence; Engineering; Control (management); Acoustics; Actuator; Computer vision","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004007597,0.000149032,0.0001662526,0.00003240651,0.00005576267,0.00003679698,0.0005237774,0.0001111474,0.0001586707],"category_scores_gemma":[0.00004135602,0.0001015224,0.0001161438,0.0002104237,0.00006017967,0.0001172824,0.00006489149,0.0003697251,0.00003565954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009630823,"about_ca_system_score_gemma":0.00004003849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007398638,"about_ca_topic_score_gemma":0.0000029621,"domain_scores_codex":[0.9990956,0.00007783349,0.0002083427,0.0001516697,0.0002658158,0.0002007408],"domain_scores_gemma":[0.999298,0.0001563039,0.00006902774,0.0003912713,0.00005742413,0.00002800123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002239071,0.0003146406,0.4786892,0.0003075087,0.0001936135,0.000003123979,0.01382548,0.01172137,0.4725895,0.006653941,0.01435414,0.0013251],"study_design_scores_gemma":[0.001260039,0.0002013172,0.2266298,0.001098225,0.00003958148,0.000001964767,0.001976571,0.1200602,0.6405025,0.006831639,0.0005709276,0.0008271844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963922,0.00002147029,0.0001558772,0.0004260248,0.000118889,0.0003690131,0.00004513636,0.0001434336,0.002327984],"genre_scores_gemma":[0.9987607,0.00001716262,0.0009468027,0.0001177315,0.00003770259,0.00005643031,0.000009007554,0.00002180952,0.00003267517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2520594,"threshold_uncertainty_score":0.4139962,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109722312136909,"score_gpt":0.2492990592516159,"score_spread":0.238326828037925,"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."}}