{"id":8401,"date":"2022-09-22T08:00:30","date_gmt":"2022-09-22T06:00:30","guid":{"rendered":"https:\/\/fermi.univ-tlse3.fr\/?post_type=tribe_events&#038;p=8401"},"modified":"2022-10-03T13:38:01","modified_gmt":"2022-10-03T11:38:01","slug":"detection-et-caracterisation-dusure-anormale-des-fils-de-contact-des-catenaires-heloise-nonne-factory-data-ia-sncf-filial-itnovem-sfp-30-09-2022","status":"publish","type":"tribe_events","link":"https:\/\/fermi.univ-tlse3.fr\/fr\/home\/event\/detection-et-caracterisation-dusure-anormale-des-fils-de-contact-des-catenaires-heloise-nonne-factory-data-ia-sncf-filial-itnovem-sfp-30-09-2022\/","title":{"rendered":"Le r\u00e9seau ferroviaire \u00e0 l&rsquo;heure du \u00ab\u00a0Big-Data\u00a0\u00bb et du \u00ab\u00a0Machine Learning\u00a0\u00bb (H\u00e9lo\u00efse NONNE \/ Factory Data &#038; IA, SNCF filial itnovem \/ SFP). &#8211; 30\/09\/2022"},"content":{"rendered":"<p><span style=\"font-size: large;\"><b>H\u00e9lo\u00efse NONNE <\/b><\/span>(Directrice Factory Data &amp; IA, SNCF filial itnovem)<\/p>\n<p><strong>Lieu : Salle de s\u00e9minaire, 3\u00e8me \u00e9tage du b\u00e2timent 3R1 &#8211; B4 <\/strong>(3e \u00e9tage LPT)<\/p>\n<p><strong>R\u00e9sum\u00e9 :<\/strong> Le r\u00f4le de SNCF R\u00e9seau est de maintenir une infrastructure ferroviaire op\u00e9rationnelle \u00e0 des co\u00fbts ma\u00eetris\u00e9s. Sur la partie \u00e9lectrifi\u00e9e du r\u00e9seau, la cat\u00e9naire achemine l\u2019\u00e9nergie de traction. Sa surveillance et sa maintenance sont cruciales pour \u00e9viter les incidents provoquant une indisponibilit\u00e9 temporaire de l\u2019infrastructure (environ 400 annuellement). Parmi ces incidents, les ruptures des fils de contact sont parmi les plus impactants et donc les plus redout\u00e9s.<\/p>\n<p>Nous pr\u00e9senterons un projet d\u2019analyse de donn\u00e9es qui vise \u00e0 identifier les modes d\u2019usure des fils de contact, sur la base de mesures de l\u2019\u00e9paisseur du fil, avec un focus particulier sur les usures anormales. La mise en relation des modes d\u2019usure avec des facteurs endog\u00e8nes (mati\u00e8re du fil, vitesse de circulation, distance \u00e0 la station \u00e9lectrique, etc.) et exog\u00e8nes (climat, trafic, etc.) permet de trouver des pistes d\u2019explication des usures. L\u2019objectif long terme est la priorisation des op\u00e9rations et budgets de maintenance afin de mieux allouer les efforts sur les zones \u00e0 \u00e9volution rapide ou \u00e0 incidentologie plus \u00e9lev\u00e9e.<\/p>\n<p><strong><span style=\"color: #002e5d;\">Il y aura aussi un caf\u00e9 offert par la SFP de 11h \u00e0 11h30 devant la salle de s\u00e9minaire!<\/span><\/strong><\/p>\n<p>Voir <a href=\"https:\/\/www.sfpnet.fr\/detection-et-caracterisation-d-usure-anormale-des-fils-de-contact-des-catenaires\"><strong>ici<\/strong> <\/a><\/p>\n<hr \/>\n<p>&nbsp;<\/p>\n<p class=\"western\"><code class=\"western\"><span style=\"font-family: Leelawadee UI, sans-serif;\"><div class=\"leaflet-map WPLeafletMap\" style=\"height:300px; width:80%;\"><\/div><script>\nwindow.WPLeafletMapPlugin = window.WPLeafletMapPlugin || [];\nwindow.WPLeafletMapPlugin.push(function WPLeafletMapShortcode() {\/*<script>*\/\nvar baseUrl = atob('aHR0cHM6Ly97c30udGlsZS5vcGVuc3RyZWV0bWFwLm9yZy97en0ve3h9L3t5fS5wbmc=');\nvar base = (!baseUrl && window.MQ) ?\n    window.MQ.mapLayer() : L.tileLayer(baseUrl,\n        L.Util.extend({}, {\n            detectRetina: 0,\n        },\n        {\"subdomains\":\"abc\",\"noWrap\":false,\"maxZoom\":18}        )\n    );\n    var options = L.Util.extend({}, {\n        layers: [base],\n        attributionControl: false\n    },\n    {\"zoomControl\":true,\"scrollWheelZoom\":true,\"doubleClickZoom\":true,\"fitBounds\":true,\"minZoom\":9,\"maxZoom\":18,\"maxBounds\":null,\"attribution\":\"<a href=\\\"http:\\\/\\\/leafletjs.com\\\" title=\\\"Une biblioth\\u00e8que JS pour des cartes interactives\\\">Leaflet<\\\/a>; 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