{"id":"W4417338488","doi":"10.1109/iceccme64568.2025.11277686","title":"N-BEATS neural network applied for insulator fault prediction considering EMD methods","year":2025,"lang":"","type":"article","venue":"","topic":"High voltage insulation and dielectric phenomena","field":"Materials Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hilbert–Huang transform; Artificial neural network; Insulator (electricity); Leakage (economics); Electric power system; Fault (geology); Filter (signal processing); Time series","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0004463658,0.0005066528,0.0005016126,0.0003510794,0.0001639885,0.0004587788,0.0004988087,0.0007124647,0.001139791],"category_scores_gemma":[0.0009811242,0.0001597572,0.0003796183,0.0003585869,0.0001743153,0.0004899909,0.0003937458,0.0006506462,0.000210876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003517369,"about_ca_system_score_gemma":0.0003275528,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006078078,"about_ca_topic_score_gemma":0.004133776,"domain_scores_codex":[0.9998708,0.00002740296,0.000008037239,0.00003466554,0.00003462288,0.00002457229],"domain_scores_gemma":[0.9998103,0.00008599763,0.00002002616,0.00001422686,0.00005472346,0.00001476989],"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":[0.0001034459,0.00005085541,0.001450925,0.00004010139,0.00003693253,0.00006933639,0.00002193192,0.8776862,0.002351397,0.002003894,0.0008445318,0.1153404],"study_design_scores_gemma":[5.635042e-7,0.00000476801,0.00007460393,0.000001075748,0.000001470125,0.000002095866,0.000001030365,0.9995601,0.0001566484,0.0001479076,0.00004907365,7.055609e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1984239,0.001620217,0.7921215,0.0004669171,0.0001860562,0.00004479577,0.0002400485,0.001001572,0.00589506],"genre_scores_gemma":[0.9564543,0.0004395838,0.03927308,0.00006763621,0.00007553514,0.00002790233,0.0002312826,0.00002704897,0.003403697],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006078078,"threshold_uncertainty_score":0.01208538,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02794142086495013,"score_gpt":0.330749169206689,"score_spread":0.3028077483417389,"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."}}