{"id":"W1487476130","doi":"10.1109/acc.1994.751734","title":"A robust discrete estimator with application to fault detection and identification","year":2005,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimator; Fault detection and isolation; Computer science; Control theory (sociology); Invariant estimator; Actuator; Noise (video); Identification (biology); Control engineering; Minimum-variance unbiased estimator; Minimax estimator; Mathematics; Engineering; Control (management); Artificial intelligence; Statistics","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":[0.001201066,0.0005774383,0.0009369807,0.0007287938,0.0002677344,0.001016348,0.0008017757,0.001247797,0.001559955],"category_scores_gemma":[0.005152838,0.0004401065,0.0007014036,0.0005496701,0.0006905773,0.0008802938,0.0009260919,0.001335632,0.0008375396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004498291,"about_ca_system_score_gemma":0.0007203274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008539578,"about_ca_topic_score_gemma":0.0005594552,"domain_scores_codex":[0.9988497,0.0003218921,0.00006420344,0.0002407141,0.0004695234,0.00005398779],"domain_scores_gemma":[0.9981824,0.0009261986,0.0002278301,0.000290488,0.0003309937,0.00004197415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001748544,0.0001052617,0.0007149419,0.0004977409,0.000126032,0.000223862,0.0001366977,0.4499738,0.04263354,0.1372585,0.003012829,0.3651419],"study_design_scores_gemma":[0.00002146853,0.0001081996,0.0001581506,0.00002241989,0.00002044558,0.0001219713,0.000006929031,0.9735138,0.008562347,0.01089571,0.006544129,0.00002438138],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005325555,0.0001299235,0.9989107,0.00003702245,0.00002071166,0.000009494088,0.00001050717,0.0001262443,0.0002228472],"genre_scores_gemma":[0.17961,0.0007744813,0.8160052,0.0001519317,0.0002366139,0.0001975114,0.0001719111,0.00009649943,0.00275586],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001559955,"threshold_uncertainty_score":0.006351888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004978580730817317,"score_gpt":0.1997015697212194,"score_spread":0.1947229889904021,"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."}}