{"id":"W4285729116","doi":"10.3390/machines10070582","title":"Thruster Fault Diagnostics and Fault Tolerant Control for Autonomous Underwater Vehicle with Ocean Currents","year":2022,"lang":"en","type":"article","venue":"Machines","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"China Postdoctoral Science Foundation","keywords":"Fault (geology); Underwater; Particle swarm optimization; Fuzzy logic; Controller (irrigation); Control theory (sociology); Control engineering; Fault tolerance; Noise (video); Computer science; Engineering; Control (management); Artificial intelligence; Algorithm; Reliability engineering; Geology","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":[0.0002708761,0.0005548056,0.0003832145,0.0003083284,0.0004215056,0.000468739,0.0005037416,0.0005269104,0.0004273784],"category_scores_gemma":[0.0007656541,0.0001785101,0.0002552358,0.0002281512,0.0004292148,0.0003807278,0.0003525614,0.0003724035,0.00005464625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004245306,"about_ca_system_score_gemma":0.0005973713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005905378,"about_ca_topic_score_gemma":0.002495952,"domain_scores_codex":[0.9997823,0.00003618285,0.0000147449,0.00006181982,0.00008124373,0.0000237326],"domain_scores_gemma":[0.9997562,0.0000778688,0.00007713516,0.00001539056,0.00006042041,0.00001303827],"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":[0.0002064972,0.00006969191,0.00146413,0.0001489797,0.00003747977,0.0001838293,0.0002265792,0.8436151,0.02989696,0.005973056,0.0008364473,0.1173412],"study_design_scores_gemma":[0.00001227213,0.000062837,0.0003013729,0.000002949446,0.000005955641,0.00001422447,0.00001044345,0.9970958,0.00162041,0.0006676017,0.0002021692,0.000003898207],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09095158,0.0003710164,0.9052808,0.0002180708,0.00005853298,0.00005875501,0.00001844856,0.0003757964,0.002667036],"genre_scores_gemma":[0.9835964,0.00008028169,0.01547059,0.00002409836,0.00001305538,0.0000422691,0.00001396551,0.000005602863,0.0007538582],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005905378,"threshold_uncertainty_score":0.01174206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006308068189002761,"score_gpt":0.2070115723431845,"score_spread":0.2007035041541818,"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."}}