{"id":"W4238042503","doi":"10.32920/ryerson.14653386","title":"Fault Tolerant Control Design for Feedwater System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Industrial Automation and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Boiler feedwater; Control valves; Control system; Controller (irrigation); Engineering; Fault tolerance; Fault (geology); Fault detection and isolation; Control theory (sociology); Control engineering; Computer science; Actuator; Reliability engineering; Control (management); Mechanical engineering; Electrical engineering","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":[0.0002510781,0.0006883643,0.0004656086,0.0004378537,0.0005093555,0.001035963,0.0007778084,0.0006598938,0.002737031],"category_scores_gemma":[0.0007139164,0.0001918082,0.0004076567,0.0002665356,0.0003509501,0.0005020794,0.0004184238,0.0005387407,0.0003432825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006463985,"about_ca_system_score_gemma":0.0005094738,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004612076,"about_ca_topic_score_gemma":0.002076894,"domain_scores_codex":[0.9994674,0.00005781638,0.00003153571,0.0001611877,0.0002253209,0.00005672277],"domain_scores_gemma":[0.9996693,0.00005789538,0.00006492971,0.00002121791,0.0001745067,0.00001220689],"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":[0.0002940283,0.00009116941,0.0009558123,0.0005642197,0.00006869128,0.0004622843,0.0002981987,0.743109,0.05030141,0.01845954,0.003030856,0.1823648],"study_design_scores_gemma":[0.0000316305,0.0002619517,0.0003760245,0.0000256132,0.00002667912,0.00009759954,0.00002568615,0.9825179,0.009524019,0.002315872,0.004781295,0.00001587908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02146513,0.0007634047,0.9652744,0.0002608197,0.0002060739,0.0001024925,0.00005285777,0.0009839358,0.01089093],"genre_scores_gemma":[0.9641505,0.0003748727,0.02903459,0.0001184022,0.00006117639,0.0001526343,0.0000935735,0.00003341032,0.00598088],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004612076,"threshold_uncertainty_score":0.009170473,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02578981807262711,"score_gpt":0.2117024706326918,"score_spread":0.1859126525600647,"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."}}