{"id":"W2982170693","doi":"10.32964/tj13.1.33","title":"Multiple faults detection and isolation approach applied to a kraft recovery boiler","year":2014,"lang":"en","type":"article","venue":"TAPPI Journal","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fault detection and isolation; Boiler (water heating); Engineering; Constant false alarm rate; Mahalanobis distance; Principal component analysis; ALARM; Real-time computing; Computer science; Reliability engineering; Process engineering; Artificial intelligence; Waste management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004342327,0.0007433426,0.0006688827,0.001111051,0.0005024909,0.0005141131,0.0004831884,0.0006941946,0.0006232971],"category_scores_gemma":[0.001334478,0.000255779,0.0006012804,0.0004457138,0.0003505503,0.0003792354,0.0004161048,0.0006881731,0.0001395673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003928364,"about_ca_system_score_gemma":0.0006886222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005343798,"about_ca_topic_score_gemma":0.00423213,"domain_scores_codex":[0.9996007,0.0000676072,0.00002937114,0.0001009092,0.0001498097,0.00005164957],"domain_scores_gemma":[0.9992994,0.0002809053,0.00009515014,0.00003549903,0.0002564735,0.00003247815],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006287211,0.0002696912,0.005031103,0.0002879791,0.0001589933,0.001142154,0.0003733103,0.3415232,0.1098169,0.002311625,0.0005687597,0.5378876],"study_design_scores_gemma":[0.00001016784,0.0001466405,0.002037648,0.000003697822,0.00002857291,0.0001445643,0.00002567047,0.9831364,0.01375831,0.0004113728,0.0002802939,0.00001663856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1144237,0.0002294015,0.883855,0.00009433222,0.0000399184,0.00007789875,0.00002202343,0.0005953042,0.0006622959],"genre_scores_gemma":[0.8473337,0.0001555177,0.1512177,0.00003049252,0.00002720552,0.00005218095,0.00004551638,0.00001791985,0.001119834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005343798,"threshold_uncertainty_score":0.01062536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005371918553487622,"score_gpt":0.1778311095329586,"score_spread":0.172459190979471,"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."}}