{"id":"W2104394692","doi":"","title":"An algorithm for fault detection in stochastic non-linear state-space models using particle filters","year":2011,"lang":"en","type":"article","venue":"International Symposium on Advanced Control of Industrial Processes","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Likelihood-ratio test; Particle filter; Algorithm; Likelihood function; Fault detection and isolation; Gaussian; State-space representation; State space; Statistic; Computer science; Nonlinear system; Sequence (biology); Mathematics; Kalman filter; Statistics; Estimation theory; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632139,0.0002025825,0.0002901456,0.0001399217,0.00004084442,0.00002679982,0.0002130542,0.0001219407,0.00000757404],"category_scores_gemma":[0.00009328828,0.0002071951,0.00006341453,0.0002080792,0.00002878802,0.0005981481,0.000006870652,0.0001724946,0.000002040484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001670329,"about_ca_system_score_gemma":0.00004727394,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001501908,"about_ca_topic_score_gemma":0.00008958703,"domain_scores_codex":[0.9987145,0.00002734238,0.0005004207,0.0002531846,0.0002518321,0.0002527186],"domain_scores_gemma":[0.9992284,0.0001195927,0.0001596592,0.0001346279,0.0002717085,0.00008607146],"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":[0.0008364619,0.00009588599,0.00001228393,0.00001594635,0.00006251596,0.000001540983,0.0002280981,0.8995648,0.07143243,0.00001935372,0.000001020938,0.02772967],"study_design_scores_gemma":[0.005505844,0.0003816723,0.000003844829,0.0001012582,0.00001650859,0.000003032733,0.00015689,0.8771977,0.1162054,0.0002090051,0.00003802137,0.0001807444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2172175,0.00003033317,0.7807491,0.00002553713,0.001021637,0.000651822,0.0000935163,0.0001015105,0.0001090228],"genre_scores_gemma":[0.9985359,0.000007066331,0.000921944,0.00002687357,0.0002312921,0.0002138829,0.000006343465,0.00003964164,0.00001699716],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7813184,"threshold_uncertainty_score":0.8449173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03147875628524761,"score_gpt":0.264933637395678,"score_spread":0.2334548811104304,"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."}}