{"id":"W4385665964","doi":"10.3390/s23167020","title":"Power Transformers OLTC Condition Monitoring Based on Feature Extraction from Vibro-Acoustic Signals: Main Peaks and Euclidean Distance","year":2023,"lang":"en","type":"article","venue":"Sensors","topic":"Power Transformer Diagnostics and Insulation","field":"Engineering","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hydro-Québec; Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Euclidean distance; Transformer; Acoustic emission; SIGNAL (programming language); Engineering; Fault (geology); Feature extraction; Computer science; Fault detection and isolation; Acoustics; Artificial intelligence; Voltage; Electrical engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009062646,0.0001914783,0.0001466114,0.0001424601,0.00009750407,0.00005579325,0.0000412096,0.0001261592,0.00005174906],"category_scores_gemma":[0.00002597135,0.0002024324,0.00005337741,0.0002301415,0.0000260771,0.0001570548,0.000001889357,0.0002233585,0.00004139508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008275744,"about_ca_system_score_gemma":0.000008429475,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001468189,"about_ca_topic_score_gemma":0.00001121213,"domain_scores_codex":[0.9991149,0.00002144593,0.0001672498,0.0002166262,0.0002132687,0.0002665043],"domain_scores_gemma":[0.9995098,0.0002434176,0.00002377083,0.0001096846,0.00002021066,0.00009310806],"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":[0.0001101773,0.00004285532,0.001374776,0.0001453135,0.00007755701,0.0001168665,0.00113738,0.7448121,0.2462238,0.00008596956,0.0009781178,0.004895031],"study_design_scores_gemma":[0.001137742,0.0001433022,0.1240853,0.00044252,0.00007553041,0.00000511026,0.000942892,0.8166062,0.04989021,0.0003727516,0.00569655,0.0006018895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9743606,0.00009957312,0.02108116,0.000174594,0.0008402165,0.0002156286,0.0002720828,0.0004193278,0.002536793],"genre_scores_gemma":[0.9991138,0.0002512785,0.0001832302,0.00002298755,0.0001040203,0.00001372275,0.0002003072,0.00005047567,0.00006019172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1963336,"threshold_uncertainty_score":0.8254952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007940697891624672,"score_gpt":0.2333513364763903,"score_spread":0.2254106385847657,"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."}}