{"id":"W7028932421","doi":"","title":"Improved Dynamic Latent Variable Modeling for Process Monitoring, Fault Diagnosis and Anomaly Detection","year":2023,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Anomaly detection; Fault detection and isolation; Autoencoder; Exploit; Latent variable; Partial least squares regression; Process (computing); Canonical correlation; Curse of dimensionality; Fault (geology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001159896,0.0008463862,0.0008011017,0.0007649372,0.0002622786,0.0009187405,0.001144409,0.0007020433,0.001594416],"category_scores_gemma":[0.002257926,0.0004275646,0.001191451,0.001175988,0.0005391301,0.001321377,0.001009927,0.001844382,0.0005392542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008131551,"about_ca_system_score_gemma":0.0009756943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006735674,"about_ca_topic_score_gemma":0.005762719,"domain_scores_codex":[0.9991913,0.0002533864,0.00004352477,0.000267783,0.0001731695,0.00007085744],"domain_scores_gemma":[0.9992926,0.0003594044,0.0001180398,0.00007857903,0.0001305955,0.00002072626],"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":[0.0001130802,0.0001154229,0.002306318,0.0001970463,0.0001487872,0.00008387297,0.0001405031,0.7611623,0.008357184,0.05204628,0.002447794,0.1728815],"study_design_scores_gemma":[0.000001915724,0.000009413359,0.000192637,0.000004603609,0.000006428034,0.000006723274,0.000003715417,0.9940059,0.0004647043,0.004525213,0.0007731659,0.000005571994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003612052,0.0003023307,0.9950131,0.0001080339,0.00002300429,0.000009373967,0.00008723773,0.000289487,0.0005554793],"genre_scores_gemma":[0.5760398,0.002141086,0.4111441,0.0002505835,0.000168348,0.0002376203,0.001458362,0.0002275823,0.008332371],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006735674,"threshold_uncertainty_score":0.01339293,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00846277561481111,"score_gpt":0.2045952143836375,"score_spread":0.1961324387688264,"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."}}