{"id":"W4412069135","doi":"10.3390/aerospace12070607","title":"Enhancing Fault Detection and Isolation in All-Electric Auxiliary Power Unit (APU) Gas Generator by Utilizing Starter/Generator Signal","year":2025,"lang":"en","type":"article","venue":"Aerospace","topic":"Power System Reliability and Maintenance","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"China Scholarship Council","keywords":"Starter; Generator (circuit theory); Fault detection and isolation; Electric generator; Isolation (microbiology); Auxiliary power unit; Electric power; SIGNAL (programming language); Power (physics); Signal generator; Electrical engineering; Computer science; Automotive engineering; Engineering; Physics; Voltage; Biology","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":[0.0005995136,0.0005336875,0.0004019377,0.0004344857,0.0002328555,0.0005012975,0.0006699469,0.0004821341,0.0009885215],"category_scores_gemma":[0.002345329,0.0001425503,0.0002476356,0.0001970354,0.0005081337,0.001028927,0.0006185106,0.0005914794,0.0001875344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003410848,"about_ca_system_score_gemma":0.0006138138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009355454,"about_ca_topic_score_gemma":0.0009942249,"domain_scores_codex":[0.9996996,0.00007276812,0.00001417662,0.00006044292,0.0001172863,0.00003580568],"domain_scores_gemma":[0.9988455,0.0005955391,0.0002222482,0.0001099218,0.0001823151,0.0000444962],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0009027044,0.0002552485,0.01087612,0.0003237054,0.00008068352,0.000773463,0.0004395498,0.5407138,0.150263,0.03228432,0.000862072,0.2622253],"study_design_scores_gemma":[0.00003392576,0.000363583,0.00236379,0.00001977376,0.00002489083,0.0002381272,0.00008466794,0.9524941,0.03375941,0.009132164,0.001467445,0.0000182009],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1373155,0.0001988361,0.8582845,0.0002732767,0.00003377664,0.00005392685,0.00002693761,0.0004562034,0.003357126],"genre_scores_gemma":[0.9718535,0.00005338451,0.02757534,0.00003834606,0.00001095668,0.00001197305,0.00001484394,0.000008864108,0.0004327192],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009885215,"threshold_uncertainty_score":0.003306925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006857694186395966,"score_gpt":0.2145077598490198,"score_spread":0.2076500656626238,"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."}}