{"id":"W2350546614","doi":"","title":"Condition Monitoring and Fault Diagnosis Methods of Hybrid System Based on Petri Nets","year":2005,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Industrial Technology and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Petri net; Computer science; Vaporizer; Fault (geology); Process (computing); Hybrid system; Controller (irrigation); Fault detection and isolation; Real-time computing; Distributed computing; Artificial intelligence; Machine learning; Programming language","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006979406,0.0005220931,0.0004412525,0.0007927105,0.0002631116,0.000584845,0.0007299296,0.0003995145,0.00107718],"category_scores_gemma":[0.001355123,0.0002632408,0.0004336716,0.000333955,0.0005471965,0.0008137589,0.0003806101,0.0004604749,0.0001667621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005956684,"about_ca_system_score_gemma":0.0004299021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002732557,"about_ca_topic_score_gemma":0.001586418,"domain_scores_codex":[0.999551,0.0001202416,0.00002360244,0.0001059957,0.000168451,0.00003064326],"domain_scores_gemma":[0.9995043,0.0002796871,0.00005621337,0.00003493065,0.0001066397,0.0000181806],"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":[0.0005548162,0.00009545967,0.002718691,0.0003426415,0.0001418121,0.0003921161,0.0005496002,0.4721534,0.05959957,0.06614044,0.001316476,0.395995],"study_design_scores_gemma":[0.00002000981,0.00005467826,0.000382471,0.00001078725,0.00002088375,0.00007994421,0.0000148134,0.9863222,0.005861564,0.006119338,0.001097797,0.00001542177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01038955,0.0001924058,0.9876369,0.00003390403,0.00002299185,0.00003006021,0.00001377231,0.0005798975,0.001100414],"genre_scores_gemma":[0.7700583,0.0003128268,0.2268175,0.00003808881,0.00004556917,0.0001372602,0.00005296834,0.00004680247,0.002490836],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002732557,"threshold_uncertainty_score":0.005433321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013395645487199,"score_gpt":0.2624474765680713,"score_spread":0.2523135201131993,"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."}}