{"id":"W4402970321","doi":"10.1007/s42401-024-00322-0","title":"Efficient machine learning based techniques for fault detection and identification in spacecraft reaction wheel","year":2024,"lang":"en","type":"article","venue":"Aerospace Systems","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Spacecraft; Reaction wheel; Identification (biology); Fault detection and isolation; Computer science; Fault (geology); Artificial intelligence; Engineering; Aerospace engineering; Geology; Biology; Seismology","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":[0.0005320918,0.0005001042,0.0007064362,0.0007665728,0.0003793529,0.00047071,0.000659631,0.0005955106,0.001528361],"category_scores_gemma":[0.002724183,0.0002945727,0.0003518004,0.0006343446,0.000331538,0.0008011925,0.0005021598,0.0007917533,0.000448281],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004651927,"about_ca_system_score_gemma":0.0007212734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005370828,"about_ca_topic_score_gemma":0.00520003,"domain_scores_codex":[0.9995795,0.0001095643,0.00003199402,0.00006210602,0.0001739259,0.00004290237],"domain_scores_gemma":[0.9988091,0.0006759369,0.0001206442,0.0001088203,0.000267788,0.00001779088],"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":[0.0002113844,0.0001045199,0.0007566825,0.0001016308,0.00004544375,0.00003874142,0.00004890401,0.5284781,0.01318457,0.004363478,0.001213973,0.4514525],"study_design_scores_gemma":[0.000004088399,0.00001682085,0.0002228205,0.000002135631,0.000002655758,0.00001002149,0.000003029624,0.996667,0.001857247,0.001031015,0.0001808974,0.000002232098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01994231,0.0002743679,0.9787678,0.00007606964,0.0000265288,0.00001553206,0.00003012861,0.0004118389,0.0004554791],"genre_scores_gemma":[0.6923387,0.0002918929,0.3037919,0.00006714863,0.000058505,0.00008499504,0.0001859666,0.00006194918,0.003118847],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005370828,"threshold_uncertainty_score":0.01067913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006192778854810031,"score_gpt":0.2227116455817488,"score_spread":0.2165188667269388,"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."}}