{"id":"W2160604664","doi":"10.1109/tac.2008.2009675","title":"Actuator Fault Detection and Isolation for a Network of Unmanned Vehicles","year":2009,"lang":"en","type":"article","venue":"IEEE Transactions on Automatic Control","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":196,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Actuator; Fault detection and isolation; Residual; Fault (geology); Engineering; Control engineering; Isolation (microbiology); Computer science; Control theory (sociology); Real-time computing; Control (management); Algorithm; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003486631,0.0003433378,0.0002922294,0.0002363223,0.000170807,0.0003484891,0.0003467018,0.0003529315,0.0005722669],"category_scores_gemma":[0.001208991,0.0001212613,0.0002010601,0.0001204982,0.0003632545,0.0004806489,0.0002806262,0.0004245249,0.0001025188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004623322,"about_ca_system_score_gemma":0.0005686979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00145686,"about_ca_topic_score_gemma":0.00135203,"domain_scores_codex":[0.9997261,0.00004761797,0.00001096259,0.00006663142,0.0001230766,0.00002556367],"domain_scores_gemma":[0.9994611,0.0002603449,0.0001200288,0.00003917455,0.000105716,0.00001369267],"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":[0.0001274208,0.00004137878,0.0008072561,0.000145045,0.00002836162,0.0001347229,0.0001179845,0.8185338,0.03587489,0.02280296,0.0006093576,0.1207768],"study_design_scores_gemma":[0.000007324777,0.00008603279,0.0001938916,0.000004216608,0.000005670161,0.00002950135,0.000010099,0.9923964,0.004289137,0.002290418,0.0006837432,0.000003540031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02770954,0.0002063228,0.9709988,0.00008710643,0.00001611106,0.00001371087,0.00001002683,0.0001031215,0.0008553275],"genre_scores_gemma":[0.9024435,0.0003363976,0.09449691,0.00004443662,0.00004212706,0.00005398148,0.00005040065,0.00001253786,0.002519765],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00145686,"threshold_uncertainty_score":0.00335449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00592831055316189,"score_gpt":0.2098330052056036,"score_spread":0.2039046946524417,"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."}}