{"id":"W3212223220","doi":"10.18280/jesa.540513","title":"Faults Detection and Classification under Variable Condition Using Intrinsic Time - Scale Decomposition and Neural Network","year":2021,"lang":"en","type":"article","venue":"Journal Européen des Systèmes Automatisés","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Multilayer perceptron; Fault (geology); Pattern recognition (psychology); Root mean square; Artificial neural network; Nonlinear system; Vibration; Perceptron; Computer science; Rotor (electric); Artificial intelligence; Rotation (mathematics); Control theory (sociology); Engineering; Acoustics; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002865679,0.0001917031,0.0002427368,0.0001273667,0.0003270423,0.0002857813,0.00005889112,0.0001113774,0.00005225426],"category_scores_gemma":[0.00004061849,0.0002012191,0.00003892878,0.0002947217,0.0000545468,0.0005776571,0.00004380957,0.0002869034,0.000007881076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002229919,"about_ca_system_score_gemma":0.00002198345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001086231,"about_ca_topic_score_gemma":0.00001498472,"domain_scores_codex":[0.9987625,0.0002134008,0.0004014842,0.0001960502,0.0001760219,0.0002504986],"domain_scores_gemma":[0.9993708,0.0001037169,0.0001396969,0.0001341157,0.000127622,0.0001240763],"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":[0.00002535279,0.00008170982,0.005563958,0.0004737285,0.0001936874,0.00008636226,0.0002654216,0.08756366,0.5674364,0.0005840663,0.001465441,0.3362602],"study_design_scores_gemma":[0.0002508978,0.00004540517,0.2985442,0.0002521468,0.00006646913,0.002509352,0.00001912137,0.6907294,0.003688107,0.003614675,0.00009766235,0.0001825884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.90665,0.001127028,0.09084515,0.00004298689,0.0002429075,0.0001511341,0.000007621858,0.0004824247,0.0004507473],"genre_scores_gemma":[0.9775463,0.0003353511,0.02171128,0.00005473276,0.0002497217,0.000009067698,0.00001720097,0.00004984257,0.00002654386],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6031657,"threshold_uncertainty_score":0.8205475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01305931707150448,"score_gpt":0.2706591804500081,"score_spread":0.2575998633785036,"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."}}