A Support Vector Machine (SVM) algorithm-based approach for vibration data analysis to identify winding slack in a typical distribution transformer.<\/p>\n","protected":false},"author":464,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"tags":[1324,1379],"targets":[],"pubblicazioni_tipologie":[778],"class_list":["post-194157","pubblicazioni","type-pubblicazioni","status-publish","hentry","tag-electricity-network-en","tag-technologies-and-components","pubblicazioni_tipologie-paper-en"],"acf":{"dont_show_hompage":true,"projects":{"ID":191060,"post_author":"464","post_date":"2024-07-10 16:52:48","post_date_gmt":"2024-07-10 14:52:48","post_content":"","post_title":"Management, monitoring and control of the transmission grid","post_excerpt":"This document reports a summary of the main results of the activities carried out in the 2018 Annual Implementation Plan (PAR) of the \u2018Transmission Grid Management, Monitoring and Control\u2019 project. The overall objective of the project is the study and assessment of the operating status of transmission and distribution grid components through monitoring, diagnostic and communication systems in order to improve the reliability and availability of the grid, including in relation to environmental conditions and the decisive influence they have on the grid.","post_status":"publish","comment_status":"open","ping_status":"closed","post_password":"","post_name":"management-monitoring-and-control-of-the-transmission-grid","to_ping":"","pinged":"","post_modified":"2024-08-05 16:00:05","post_modified_gmt":"2024-08-05 14:00:05","post_content_filtered":"","post_parent":0,"guid":"https:\/\/www.rse-web.it\/progetti\/management-monitoring-and-control-of-the-transmission-grid\/","menu_order":0,"post_type":"progetti","post_mime_type":"","comment_count":"0","filter":"raw"},"order_posts":"","dont_show_search":false,"related_posts":false,"show_on_slider":false,"single_post_data":{"titolo_spot":"","post_content":"
Transformers with loose or deformed windings can fail in the event of an external short circuit with loss of service and high maintenance costs. The transformer tank vibration technique potentially offers a decisive solution for continuous online assessment of the integrity of transformer structural elements. In this paper, the influence of sensor position on tank vibration measurements is addressed by means of Support Vector Machine (SVM) algorithms. Laboratory tests were performed at different points in the tank on a typical oil transformer under two extreme conditions, with tight and slack windings. The preliminary results of SVM analysis of the tank vibration spectra showed that winding slack can be identified correctly during repetitive installation of the sensor.<\/p>\n","scarica_file":false,"link_estreno":[{"link_text":"Download Memory","link":"https:\/\/ieeexplore.ieee.org\/abstract\/document\/8796535"}],"button":{"text":"","link":""},"referente_group":false,"data_emissione":"2019-06-23","autori":"A. Tavakoli, D. Bartalesi, L. De Maria, S. Bittanti \u2018Politecnico di Milano\u2019, S. Garatti \u2018Politecnico di Milano\u2019, B. Valecillos \u2018Trafoexperts GMBH\u2019, U. Piovan \u2018Trafoexperts GMBH\u2019","destinazione":"ICDL 2019 20th IEEE International Conference on Dielectric Liquids, June 21-23, 2019","rif_rse":"18007563"},"satellite_post_url":""},"yoast_head":"\n