{"id":"W2145271296","doi":"10.1109/taes.2011.6034643","title":"Hierarchical Fault Diagnosis and Fuzzy Rule-Based Reasoning for Satellites Formation Flight","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Aerospace and Electronic Systems","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Spacecraft; Fault (geology); Fuzzy logic; Computer science; Hierarchy; Fault detection and isolation; Real-time computing; Satellite; Control engineering; Fuzzy rule; Space exploration; Reliability engineering; Engineering; Fuzzy control system; Artificial intelligence; Aerospace engineering","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":[0.0004154242,0.0001965214,0.0002154017,0.0001352184,0.000461217,0.0001871516,0.0001742788,0.0001248492,0.000002595736],"category_scores_gemma":[0.000006975256,0.0001778763,0.00006441047,0.0001984068,0.00004278221,0.0003275821,0.00000178242,0.0002533797,0.000005998343],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000713936,"about_ca_system_score_gemma":0.00007816403,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001360768,"about_ca_topic_score_gemma":0.0000430663,"domain_scores_codex":[0.9986615,0.00009291817,0.0002317793,0.0003686851,0.0001575627,0.0004875807],"domain_scores_gemma":[0.9991575,0.0003223169,0.00009374914,0.0002461512,0.00005356458,0.0001266961],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002131079,0.002036131,0.008837865,0.004436559,0.001188897,0.00005328815,0.05223655,0.05717878,0.01968828,0.2059957,0.004046758,0.6421701],"study_design_scores_gemma":[0.003964306,0.003604336,0.0005197497,0.001406314,0.0001965692,0.0002024449,0.0004845068,0.8493531,0.1258354,0.003285636,0.009629203,0.001518348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05703812,0.001815558,0.9397325,0.0003940138,0.0002349762,0.0004330397,0.00001134484,0.0001603676,0.000180114],"genre_scores_gemma":[0.9908166,0.0003302291,0.008209634,0.0001063875,0.00003403929,0.0003173469,0.000003770102,0.00001634844,0.0001656365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9337785,"threshold_uncertainty_score":0.7253584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02140223082424079,"score_gpt":0.2293630962373694,"score_spread":0.2079608654131287,"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."}}