{"id":"W3130506484","doi":"10.1109/dependsys51298.2020.00017","title":"Real-Time Fault Detection and Diagnosis of CPS Faults in DEVS","year":2020,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Interconnectivity; DEVS; Cyber-physical system; Computer science; Fault detection and isolation; Fault (geology); Distributed computing; Real-time computing; Embedded system; Scheme (mathematics); Reliability engineering; Engineering; Artificial intelligence; Modeling and simulation; Simulation","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":[0.0007236748,0.0005623105,0.0007241857,0.00102112,0.0003555264,0.0009495966,0.0008015331,0.0007511933,0.001006314],"category_scores_gemma":[0.003628225,0.0002280222,0.0004812179,0.0003894854,0.0006975291,0.000955848,0.0009358324,0.0007193091,0.0002116844],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007930173,"about_ca_system_score_gemma":0.001020503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002919559,"about_ca_topic_score_gemma":0.002463789,"domain_scores_codex":[0.9993297,0.0001102563,0.00003987264,0.0001640513,0.0002444364,0.0001116161],"domain_scores_gemma":[0.9983608,0.0006697964,0.000291119,0.0002442216,0.0003693672,0.00006463494],"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":[0.0005840008,0.0002463871,0.01253706,0.0004220651,0.00009130524,0.001643465,0.0003778658,0.6832926,0.04222763,0.02918904,0.002814971,0.2265736],"study_design_scores_gemma":[0.00001146095,0.00008118137,0.001157612,0.00002140192,0.00001623666,0.0002133177,0.00005278382,0.9721487,0.01724414,0.007585085,0.00145461,0.00001353098],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08146232,0.0003049326,0.9124405,0.0002473401,0.0001023658,0.0001080223,0.0001995421,0.001865292,0.003269711],"genre_scores_gemma":[0.9422519,0.0001011088,0.05635639,0.00005596879,0.00001342454,0.00004490113,0.0001419279,0.00002879824,0.001005391],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002919559,"threshold_uncertainty_score":0.005805135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007106618586155523,"score_gpt":0.1964874148988123,"score_spread":0.1893807963126568,"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."}}