{"id":"W4409316836","doi":"10.1016/j.ress.2025.111142","title":"Intelligent diagnosis method for early faults of electric-hydraulic control system based on residual analysis","year":2025,"lang":"en","type":"article","venue":"Reliability Engineering & System Safety","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Natural Science Fund for Distinguished Young Scholars of Shandong Province; Ministry of Industry and Information Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Residual; Reliability engineering; Computer science; Engineering; Control engineering; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002041641,0.0004712837,0.001402923,0.0009071584,0.00009611868,0.00003933658,0.0003489435,0.000315984,0.00000431293],"category_scores_gemma":[0.0003712779,0.0004586527,0.0007634361,0.001893197,0.00001307177,0.00006884075,0.00001322293,0.0002844834,0.00000968676],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001324477,"about_ca_system_score_gemma":0.00005926508,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003270861,"about_ca_topic_score_gemma":0.00001588029,"domain_scores_codex":[0.9966912,0.0002511652,0.001497873,0.000591679,0.0004277201,0.0005403502],"domain_scores_gemma":[0.9964624,0.001969354,0.0001647933,0.0009928122,0.0002567398,0.0001538975],"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":[0.0002381751,0.00004465724,0.00176881,0.004219912,0.001062256,0.000001777407,0.00005124579,0.9888401,0.001333837,0.00113004,0.00006873646,0.00124044],"study_design_scores_gemma":[0.001350426,0.0001510859,0.006133987,0.0006658531,0.0008559094,0.000001465688,0.00009638342,0.979272,0.008899397,0.000001879664,0.002231652,0.000339978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02299369,0.0003716246,0.9710498,0.00007637171,0.001154756,0.001967031,0.0001856563,0.00133949,0.0008615094],"genre_scores_gemma":[0.996737,0.000007444127,0.001903342,0.00001740313,0.0001083077,0.00110884,0.00001496185,0.00006201753,0.00004066752],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9737433,"threshold_uncertainty_score":0.9997865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004017746200515413,"score_gpt":0.2228848102915247,"score_spread":0.2188670640910092,"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."}}