{"id":"W4220949726","doi":"10.3390/machines10040237","title":"Fault Detection and Diagnosis with Imbalanced and Noisy Data: A Hybrid Framework for Rotating Machinery","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Fault detection and isolation; Classifier (UML); Wavelet; Artificial intelligence; Machine learning; Data mining; Feature extraction; Fault (geology); Pattern recognition (psychology)","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":[0.0002628305,0.0002470061,0.0002646216,0.0001202078,0.0003227093,0.00009066438,0.0002329128,0.00003743491,0.00002337056],"category_scores_gemma":[0.0001787427,0.0002252441,0.00002495314,0.0001619102,0.00003513757,0.0002111858,0.0002902589,0.0003548824,3.878529e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003126497,"about_ca_system_score_gemma":0.00000582373,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729962,"about_ca_topic_score_gemma":0.0001660115,"domain_scores_codex":[0.9989222,0.00004375314,0.0002078491,0.000408555,0.0001669485,0.0002506717],"domain_scores_gemma":[0.9989935,0.0004592566,0.00006002584,0.0003977725,0.00001979296,0.0000696369],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001879422,0.0001468365,0.3011787,0.0008782611,0.0002186321,0.00003751606,0.0007407384,0.01006703,0.003030097,0.0005993189,0.003993473,0.6789215],"study_design_scores_gemma":[0.0009059841,0.0004397704,0.02224695,0.00009798672,0.0001020945,0.000156212,0.00006342943,0.9563116,0.003753795,0.004150467,0.0110644,0.0007072551],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9035991,0.001454929,0.09227464,0.0002272712,0.0001805908,0.0007434856,0.0005523192,0.0008760635,0.00009154374],"genre_scores_gemma":[0.9319347,0.000173969,0.06570966,0.0001506277,0.0001328045,0.001690652,0.0001161299,0.00008129177,0.00001013423],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9462447,"threshold_uncertainty_score":0.9185188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0116042272435724,"score_gpt":0.2714261093133369,"score_spread":0.2598218820697645,"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."}}