{"id":"W1596758839","doi":"10.1002/9781118700365.ch2","title":"Fault Diagnosis and Detection","year":2013,"lang":"en","type":"other","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; King Fahd University of Petroleum and Minerals","keywords":"Sensor fusion; Kalman filter; Fault detection and isolation; Fault (geology); Computer science; Scheme (mathematics); Process (computing); Real-time computing; Fusion; Filter (signal processing); Information fusion; Fault coverage; Control engineering; Engineering; Distributed computing; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004926848,0.0007723185,0.001093531,0.0009214858,0.0004513119,0.00118903,0.001194987,0.001130176,0.003471735],"category_scores_gemma":[0.001495281,0.0002820841,0.0005575782,0.0003965701,0.0005244176,0.001395033,0.0007563388,0.0008283944,0.001565573],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007452431,"about_ca_system_score_gemma":0.001120694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911991,"about_ca_topic_score_gemma":0.002235283,"domain_scores_codex":[0.999122,0.00007377256,0.00004312688,0.0002677399,0.0004054573,0.00008793009],"domain_scores_gemma":[0.9995639,0.0000895511,0.00006352135,0.00008888989,0.0001759345,0.00001829882],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001976855,0.0001431256,0.001945672,0.0003825322,0.00006618466,0.0002596414,0.0001706123,0.1200588,0.04805705,0.02904142,0.00468515,0.7949921],"study_design_scores_gemma":[0.00004267125,0.0004217482,0.00283,0.0001227216,0.00007734868,0.0008396336,0.0001254241,0.8525512,0.07595203,0.02680259,0.04017024,0.00006449634],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.004302463,0.0004649397,0.9908489,0.0001321852,0.00008396338,0.000071083,0.00006054141,0.0009670907,0.003068774],"genre_scores_gemma":[0.5448813,0.00171354,0.4358351,0.0003085938,0.0002081134,0.0002004308,0.0006086568,0.000159209,0.01608497],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.003471735,"threshold_uncertainty_score":0.01161408,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005340819594555697,"score_gpt":0.1895485081198558,"score_spread":0.1842076885253001,"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."}}