{"id":"W2127402788","doi":"10.1109/cca.2007.4389376","title":"A Nonlinear Geometric Fault Detection and Isolation Approach for Almost-Lighter-Than-Air-Vehicles","year":2007,"lang":"en","type":"article","venue":"˜The œproceedings of the IEEE Conference on Control Applications/˜The œproceedings of the ... IEEE Conference on Control Applications","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada; Concordia University","funders":"","keywords":"Fault detection and isolation; Actuator; Nonlinear system; Control theory (sociology); Channel (broadcasting); Computer science; Fault (geology); Isolation (microbiology); Filtering theory; Engineering; Algorithm; Artificial intelligence; Telecommunications; Physics","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":[0.0002875172,0.0009133322,0.0005397996,0.0004268879,0.0002877846,0.0003711235,0.0007144487,0.0005834914,0.001378326],"category_scores_gemma":[0.001004499,0.000188915,0.0004531166,0.0001764266,0.000715117,0.0007010414,0.0006888013,0.0004807688,0.0002219103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004134625,"about_ca_system_score_gemma":0.0005144361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001782022,"about_ca_topic_score_gemma":0.001541828,"domain_scores_codex":[0.9996808,0.00005700605,0.00001421705,0.00009439464,0.0001074669,0.00004614624],"domain_scores_gemma":[0.9993906,0.0002461509,0.00014813,0.00005254598,0.0001444055,0.00001816467],"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":[0.0002826609,0.00007351517,0.001927603,0.000393401,0.00008184459,0.0004169351,0.0002328444,0.6304396,0.07314509,0.02051613,0.0007803117,0.2717101],"study_design_scores_gemma":[0.00002007654,0.0003262925,0.0006532733,0.00001069544,0.00003373049,0.0002403059,0.00005361642,0.9768008,0.01427329,0.00566854,0.001900354,0.00001915344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02119473,0.0002148373,0.9770128,0.00010354,0.00003110089,0.00001799889,0.000009610781,0.0001361916,0.001279243],"genre_scores_gemma":[0.875667,0.0003050752,0.1207488,0.000115549,0.0000851425,0.00003312215,0.00004842324,0.00002225969,0.002974489],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001782022,"threshold_uncertainty_score":0.004610956,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01433054097669675,"score_gpt":0.2302929538813182,"score_spread":0.2159624129046214,"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."}}