{"id":"W2127582700","doi":"10.1109/tcst.2009.2038066","title":"A Hybrid Fault Detection and Isolation Strategy for a Network of Unmanned Vehicles in Presence of Large Environmental Disturbances","year":2010,"lang":"en","type":"article","venue":"IEEE Transactions on Control Systems Technology","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Fault detection and isolation; Residual; Actuator; Fault (geology); Engineering; Hybrid system; Control theory (sociology); Isolation (microbiology); Computer science; Control engineering; Real-time computing; Algorithm; Control (management); Artificial intelligence; Machine learning","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":[0.0003380276,0.0006103666,0.0003700702,0.000229361,0.0002687133,0.0004284781,0.0006000538,0.0006627445,0.0007384901],"category_scores_gemma":[0.0005879581,0.0001511991,0.0002288053,0.0001261488,0.0003695026,0.0005923711,0.0004617647,0.0004675294,0.0001458964],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003021352,"about_ca_system_score_gemma":0.0004777077,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001670174,"about_ca_topic_score_gemma":0.001848372,"domain_scores_codex":[0.9998072,0.00003238316,0.0000120607,0.00006793271,0.00005351928,0.00002696218],"domain_scores_gemma":[0.9997262,0.0001038181,0.00006642092,0.00002669043,0.00005736937,0.00001951701],"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":[0.0002339936,0.0000914332,0.001130041,0.000265533,0.00006210592,0.000491971,0.0002153638,0.6949653,0.07191432,0.01300181,0.0008333194,0.2167948],"study_design_scores_gemma":[0.0000191987,0.0001883075,0.0002111129,0.000007647764,0.00001421129,0.00007717591,0.00002102151,0.9909132,0.006279242,0.00137194,0.0008897294,0.000007198002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02294356,0.0001958597,0.97562,0.00008718036,0.00002810203,0.00002798857,0.00001124536,0.0002169759,0.0008690833],"genre_scores_gemma":[0.845052,0.0001318263,0.1528005,0.0000724437,0.00002898921,0.00006681844,0.00003562607,0.00001016807,0.001801568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001670174,"threshold_uncertainty_score":0.003320932,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004237081560363032,"score_gpt":0.2016106838580959,"score_spread":0.1973736022977328,"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."}}