{"id":"W2035066544","doi":"10.1109/wac.2006.376045","title":"Neural Network-based Actuator Fault Diagnosis for Attitude Control Subsystem of a Satellite","year":2006,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Artificial neural network; Residual; Fault detection and isolation; Computer science; Satellite; Control theory (sociology); Reaction wheel; Fault (geology); Actuator; Multilayer perceptron; Perceptron; Attitude control; Real-time computing; Control engineering; Artificial intelligence; Engineering; Control (management); Algorithm","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":[0.0001513946,0.0001684241,0.0003460434,0.00005549358,0.0000388765,0.00003133624,0.0001010576,0.00009649522,0.00003541633],"category_scores_gemma":[0.00001209145,0.0001472199,0.0001918017,0.0001316488,0.00001493767,0.00005595106,0.000003010221,0.00005688224,0.00001571828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004443004,"about_ca_system_score_gemma":0.000008977406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001440805,"about_ca_topic_score_gemma":0.000469973,"domain_scores_codex":[0.9989648,0.00003204402,0.0004200919,0.0001451936,0.0001384786,0.0002993558],"domain_scores_gemma":[0.9993887,0.0002394286,0.0000601415,0.0001895724,0.00006423905,0.0000579176],"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":[0.0001817421,0.0000779328,0.03047701,0.0007102816,0.0002093638,0.000004236015,0.00002604258,0.9391519,0.01117052,0.001117737,0.007608825,0.009264418],"study_design_scores_gemma":[0.00353509,0.0001042481,0.006504261,0.00005800731,0.00005197132,0.000002693101,0.00002018599,0.927911,0.006352509,0.00002732337,0.05515873,0.0002739663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8085342,0.00684535,0.1593138,0.000498949,0.004026981,0.004795023,0.000207016,0.002622553,0.01315609],"genre_scores_gemma":[0.9984737,0.000007384268,0.0002175728,0.00007114771,0.0003675402,0.0005005993,0.000008396887,0.00003636543,0.0003172796],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1899395,"threshold_uncertainty_score":0.6003453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007207960261067859,"score_gpt":0.2051373009201889,"score_spread":0.197929340659121,"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."}}