{"id":"W2611559044","doi":"10.1117/12.2262570","title":"Development of a variable structure-based fault detection and diagnosis strategy applied to an electromechanical system","year":2017,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; University of Guelph","funders":"","keywords":"Computer science; Kalman filter; Robustness (evolution); Fault detection and isolation; Signal processing; Control theory (sociology); Artificial intelligence; Telecommunications; Control (management); Actuator","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004223897,0.0002741189,0.0004322793,0.0001045493,0.0001577874,0.0001669653,0.0006205897,0.0002053907,0.000004005829],"category_scores_gemma":[0.0001409463,0.0002439974,0.0001712143,0.0001487036,0.00006524732,0.0003010536,0.0000666971,0.0002109282,4.853868e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002002667,"about_ca_system_score_gemma":0.00002970399,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001609621,"about_ca_topic_score_gemma":0.000002002059,"domain_scores_codex":[0.9982907,1.834783e-8,0.0006349409,0.0003059137,0.0004598532,0.0003085966],"domain_scores_gemma":[0.9988557,0.0000477998,0.000269801,0.00008546665,0.0005862093,0.0001549889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009199915,0.00003642466,0.00004661667,0.0008767036,0.0002701438,3.092973e-8,0.0001196147,0.001965488,0.9035261,0.09063249,0.00003609355,0.002398337],"study_design_scores_gemma":[0.0011355,0.0002882501,0.0006994752,0.0002854179,0.00009416779,0.000008297621,0.001065826,0.2702715,0.7246805,0.0001598062,0.0009749444,0.0003363854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972233,0.00002526262,0.001015638,0.00007337957,0.0002202245,0.0006143068,0.00003108149,0.000138128,0.0006587424],"genre_scores_gemma":[0.9488062,0.000005090325,0.0506685,0.00001265274,0.0001529178,0.0002948526,0.000002521627,0.00004803105,0.000009236678],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.268306,"threshold_uncertainty_score":0.9949926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009176318208439789,"score_gpt":0.2153771947782156,"score_spread":0.2062008765697758,"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."}}