{"id":"W2613572463","doi":"10.1002/aic.15791","title":"Distributed output‐feedback fault detection and isolation of cascade process networks","year":2017,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Residual; Control theory (sociology); Fault detection and isolation; Cascade; Estimator; Fault (geology); State (computer science); Process (computing); Generator (circuit theory); Control engineering; Engineering; Actuator; Noise (video); Computer science; Control (management); Power (physics); Mathematics; Algorithm; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003797565,0.0007503472,0.0005249397,0.0003082984,0.0003619461,0.000439674,0.0007917442,0.0005440387,0.0007792673],"category_scores_gemma":[0.001314278,0.0002409007,0.0003542747,0.0001954409,0.0005112708,0.0005957275,0.0006451919,0.0004816727,0.0001063771],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007195395,"about_ca_system_score_gemma":0.0005867245,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003088477,"about_ca_topic_score_gemma":0.002465174,"domain_scores_codex":[0.999643,0.0000532436,0.00001558682,0.0000982826,0.0001337594,0.00005614594],"domain_scores_gemma":[0.9994217,0.0002194321,0.000147408,0.00004769454,0.0001411147,0.00002278987],"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":[0.0005231656,0.0001427827,0.002230153,0.0002504417,0.00006415579,0.0008033793,0.0002206045,0.7480721,0.0953424,0.01072153,0.0008039312,0.1408253],"study_design_scores_gemma":[0.00001160245,0.00008413969,0.000365713,0.000004879443,0.000009553512,0.00003959741,0.000007280381,0.9899399,0.007657354,0.00164224,0.0002320687,0.000005567606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1329317,0.0004144843,0.862079,0.000136556,0.00005017405,0.00005549653,0.0000335597,0.0005858944,0.003713127],"genre_scores_gemma":[0.9843284,0.00008346837,0.01466904,0.00001581534,0.000009768585,0.0000240176,0.00002205051,0.000007549851,0.000839934],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003088477,"threshold_uncertainty_score":0.006141007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008637145379381839,"score_gpt":0.2318033110665087,"score_spread":0.2231661656871268,"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."}}