{"id":"W2090063876","doi":"10.1002/cjce.20036","title":"Fault diagnosis and fault tolerant control using reduced order models","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Chemistry; Council of Scientific and Industrial Research, India","keywords":"Fault tolerance; Fault (geology); Control theory (sociology); Computer science; Fractionating column; Scheme (mathematics); Fault coverage; Control (management); Product (mathematics); Reliability engineering; Distillation; Mathematics; Engineering; Artificial intelligence; Distributed computing; Chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009291937,0.0008229889,0.001383841,0.000663043,0.0004351688,0.001215474,0.001279567,0.0009012819,0.001900735],"category_scores_gemma":[0.002713824,0.0004310197,0.001019289,0.0003193966,0.00103182,0.000926942,0.0006944272,0.001333491,0.000388862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001177322,"about_ca_system_score_gemma":0.001141427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009113546,"about_ca_topic_score_gemma":0.004602703,"domain_scores_codex":[0.9990845,0.0002665132,0.00003735306,0.0001831063,0.000326783,0.0001017306],"domain_scores_gemma":[0.998574,0.0006489456,0.0002727025,0.00018323,0.0002841061,0.00003692324],"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":[0.00006235518,0.00003529743,0.0002150604,0.00003952457,0.00003060669,0.00005534967,0.00004049114,0.9802778,0.002909687,0.007730759,0.0001961643,0.008406914],"study_design_scores_gemma":[0.000005632567,0.0000150646,0.00003934602,0.000001324979,0.00000435884,0.000004863668,0.000001277403,0.9981518,0.0003869702,0.001279234,0.0001072546,0.00000288774],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02708875,0.0001585966,0.9694697,0.0002307842,0.00004815135,0.00005501564,0.00008351533,0.0006582743,0.002207199],"genre_scores_gemma":[0.9460908,0.0001547603,0.05013306,0.00008048816,0.00003527065,0.0001349713,0.0001338959,0.00005958048,0.003177095],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009113546,"threshold_uncertainty_score":0.018121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430621191831638,"score_gpt":0.1901703240536258,"score_spread":0.1758641121353094,"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."}}