{"id":"W2578404781","doi":"10.1155/2017/1763934","title":"Intelligent Vehicle Embedded Sensors Fault Detection and Isolation Using Analytical Redundancy and Nonlinear Transformations","year":2017,"lang":"en","type":"article","venue":"Journal of Control Science and Engineering","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Redundancy (engineering); Fault detection and isolation; Residual; Nonlinear system; Engineering; Computer science; Isolation (microbiology); Control engineering; Transformation (genetics); Fault (geology); Control theory (sociology); Reliability engineering; Algorithm; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002048117,0.0005161096,0.0003664697,0.0003611811,0.0001953656,0.0003649635,0.000532161,0.0003033474,0.0005728978],"category_scores_gemma":[0.0005308603,0.000142938,0.0002530043,0.0001376384,0.0003144464,0.0005227139,0.0003984559,0.0003013231,0.0001975407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000236682,"about_ca_system_score_gemma":0.0003365016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004609281,"about_ca_topic_score_gemma":0.000403095,"domain_scores_codex":[0.99977,0.00004496322,0.00001145127,0.00004662002,0.00009827175,0.00002869167],"domain_scores_gemma":[0.999798,0.00006007228,0.00004643677,0.0000351553,0.00005223133,0.000008153254],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006081483,0.0001466618,0.001168985,0.000242998,0.00006412822,0.0002972822,0.0002333419,0.2015611,0.4257127,0.0147554,0.0007846818,0.3544245],"study_design_scores_gemma":[0.00003253268,0.0004335848,0.0007385172,0.00001694101,0.00003610957,0.0002271213,0.0000262909,0.8775687,0.1158004,0.003157104,0.001942283,0.00002036179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09607631,0.0002793646,0.9005073,0.00008797114,0.00002823313,0.00003988962,0.00002041743,0.0008258168,0.002134822],"genre_scores_gemma":[0.9223325,0.0001130331,0.07631513,0.00002122523,0.00002015138,0.00002997946,0.00003122345,0.00002353335,0.001113206],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0005728978,"threshold_uncertainty_score":0.001916528,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01094043886599287,"score_gpt":0.2466034110171243,"score_spread":0.2356629721511314,"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."}}