{"id":"W2075300511","doi":"10.1109/mesa.2010.5552042","title":"DUKF-based GTM UAV fault detection and diagnosis with nonlinear and LPV models","year":2010,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Fault detection and isolation; Control reconfiguration; Actuator; Control theory (sociology); FTCS scheme; Kalman filter; Fault (geology); Nonlinear system; Fault tolerance; Engineering; Control engineering; Controller (irrigation); Computer science; Real-time computing; Embedded system; Control (management); Artificial intelligence; Reliability engineering; Mathematics","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":[0.000330915,0.0003631735,0.0004778247,0.0002774019,0.0002621841,0.0004980939,0.0005051011,0.0003995971,0.0006087082],"category_scores_gemma":[0.001477377,0.000199676,0.0003104708,0.0001615286,0.0003560282,0.0004562724,0.0004447249,0.0004944371,0.0001312346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005700836,"about_ca_system_score_gemma":0.0005608128,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01870358,"about_ca_topic_score_gemma":0.009218216,"domain_scores_codex":[0.9997962,0.00004909981,0.00001422496,0.00004926716,0.00006456597,0.00002670926],"domain_scores_gemma":[0.9996133,0.0001333956,0.0000872754,0.00005352483,0.00009469013,0.00001777033],"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":[0.0001075637,0.00001699788,0.00130089,0.00003223797,0.0000151647,0.00006257237,0.00004770329,0.9698472,0.003748172,0.001152088,0.0001542002,0.0235152],"study_design_scores_gemma":[0.000002641482,0.00001095367,0.0001387138,8.565142e-7,0.000001677869,0.000006280527,0.000002312374,0.9990709,0.0005576169,0.0001466054,0.00005981949,0.000001495468],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1761528,0.0001494871,0.8203819,0.0001110928,0.00003811587,0.00003168305,0.00008907435,0.0007274049,0.002318559],"genre_scores_gemma":[0.9724777,0.00003407134,0.02641213,0.00001002894,0.000005951519,0.00001813582,0.0000676901,0.00001237492,0.0009619833],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01870358,"threshold_uncertainty_score":0.03718942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004626521157317114,"score_gpt":0.178795555575135,"score_spread":0.1741690344178179,"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."}}