{"id":"W4393184630","doi":"10.1109/ojia.2024.3380249","title":"Fault Detection Based on Vibration Measurements and Variational Autoencoder-Desirability Function","year":2024,"lang":"en","type":"article","venue":"IEEE Open Journal of Industry Applications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; École de Technologie Supérieure","funders":"Hydro-Québec; Natural Sciences and Engineering Research Council of Canada; École de technologie supérieure","keywords":"Autoencoder; Function (biology); Vibration; Fault (geology); Fault detection and isolation; Computer science; Pattern recognition (psychology); Artificial intelligence; Algorithm; Acoustics; Physics; Artificial neural network; Geology; Seismology; Biology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000634465,0.000113311,0.0001352783,0.000159843,0.0001347897,0.0002985869,0.0001378585,0.0001970825,0.00006240841],"category_scores_gemma":[0.0000235125,0.0001055624,0.00004976562,0.0003147402,0.00001720683,0.0004445098,0.000006182075,0.0005164411,0.00002237536],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001900219,"about_ca_system_score_gemma":0.00008875038,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008946156,"about_ca_topic_score_gemma":0.00001087588,"domain_scores_codex":[0.9990159,0.00006668155,0.0004046839,0.0001457428,0.0002718643,0.00009517135],"domain_scores_gemma":[0.9994715,0.00006373075,0.00009075544,0.0001425838,0.0001394207,0.00009203514],"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":[0.0001155059,0.0001158817,0.0002214707,0.0001037081,0.0001817569,0.000001915351,0.00007323857,0.8035253,0.08949718,0.0003700773,0.001779068,0.104015],"study_design_scores_gemma":[0.0005733861,0.0001622263,0.003879619,0.000106787,0.00006677028,0.0000441239,0.00006155187,0.9688041,0.005822417,0.0006599234,0.01967098,0.0001480772],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01663451,0.0001064392,0.9777879,0.0005569818,0.001112672,0.0006255788,0.00001417892,0.0001181579,0.00304359],"genre_scores_gemma":[0.9986805,0.000003104665,0.0006135613,0.00007607756,0.0003722361,0.0001431792,0.000003084304,0.00001771669,0.00009054409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.982046,"threshold_uncertainty_score":0.4304709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03943195154819427,"score_gpt":0.2766326506577416,"score_spread":0.2372006991095473,"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."}}