{"id":"W4238532626","doi":"10.32920/ryerson.14649306","title":"Fault Diagnosis And Prognosis Of Satellite Attitude Control System With Reaction Wheels and Control Moment Gyros","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Algorithms and Applications","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Prognostics; Fault (geology); Kalman filter; Engineering; Fault detection and isolation; Reliability engineering; Residual; Bayes' theorem; Control theory (sociology); Control engineering; Computer science; Bayesian probability; Actuator; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008476297,0.0002729424,0.0005247573,0.0000621328,0.00004533136,0.00007166313,0.00006491546,0.0001547281,0.000005072372],"category_scores_gemma":[0.000004586713,0.0002293811,0.00004958621,0.00007339878,0.00004938469,0.00008803086,0.00005012253,0.000226309,7.878284e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008227277,"about_ca_system_score_gemma":0.00001654388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001085175,"about_ca_topic_score_gemma":0.00005959633,"domain_scores_codex":[0.9989243,0.00002046278,0.0003437405,0.000372968,0.0001600065,0.000178502],"domain_scores_gemma":[0.9992912,0.00009853096,0.0001172064,0.0002695486,0.0001231719,0.0001002947],"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":[0.000223695,0.001029522,0.1390773,0.02668245,0.007693175,0.00008283558,0.002201643,0.3136796,0.05718552,0.009662644,0.000215236,0.4422664],"study_design_scores_gemma":[0.0177893,0.0007429381,0.2377136,0.01033248,0.003830385,0.0002078595,0.005236005,0.6240816,0.07493369,0.0003174003,0.01990021,0.004914525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2508756,0.01283649,0.730721,0.0003333998,0.0001864346,0.003378224,0.0003245489,0.0005219798,0.0008223552],"genre_scores_gemma":[0.9862381,0.004551438,0.006964886,0.00001661299,0.00005738651,0.002065045,0.00003276416,0.00003972356,0.00003408769],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7353625,"threshold_uncertainty_score":0.9353889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007796142410725155,"score_gpt":0.2150050692636824,"score_spread":0.2072089268529572,"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."}}