{"id":97136,"date":"2019-01-30T23:31:44","date_gmt":"2019-01-30T23:31:44","guid":{"rendered":"https:\/\/\/renesas-electronics-simplifie-la-maintenance-des-appareils-menagers\/"},"modified":"2019-01-30T23:31:44","modified_gmt":"2019-01-30T23:31:44","slug":"renesas-electronics-simplifie-la-maintenance-des-appareils-menagers","status":"publish","type":"post","link":"https:\/\/www.ecinews.fr\/fr\/renesas-electronics-simplifie-la-maintenance-des-appareils-menagers\/","title":{"rendered":"Renesas Electronics simplifie la maintenance des appareils m\u00e9nagers"},"content":{"rendered":"

Ces pannes dues \u00e0 une anomalie motrice sont d\u00e9tect\u00e9es gr\u00e2ce \u00e0 l\u2019int\u00e9gration de l\u2019IA (e-AI). Les propri\u00e9t\u00e9s physiques (par exemple le courant ou la vitesse de rotation) indiquant l’\u00e9tat du moteur peuvent \u00eatre utilis\u00e9es directement, ce qui permet d’impl\u00e9menter la d\u00e9tection d’anomalie bas\u00e9e sur le contr\u00f4le moteur et l’e-AI sur un seul MCU, en \u00e9liminant ainsi la n\u00e9cessit\u00e9 d’ajouter des capteurs.<\/p>\n

Le fonctionnement normal du moteur est surveill\u00e9 en continu et les d\u00e9fauts sont d\u00e9tect\u00e9s en temps r\u00e9el. Les dysfonctionnements de l’appareil domestique apparaissent souvent dans ces conditions. En associant une d\u00e9tection bas\u00e9e sur e-AI et sur la commande de moteur, on peut obtenir des r\u00e9sultats qui peuvent \u00eatre utilis\u00e9s non seulement pour d\u00e9clencher des alarmes en cas de d\u00e9faillance, mais \u00e9galement pour r\u00e9aliser une maintenance pr\u00e9ventive, comme par exemple estimer le moment \u00e0 partir duquel les r\u00e9parations et la maintenance doivent \u00eatre effectu\u00e9es et identifier les emplacements des d\u00e9fauts. Cela permet aux fabricants d\u2019appareils \u00e9lectrom\u00e9nagers d\u2019am\u00e9liorer grandement l\u2019efficacit\u00e9 des op\u00e9rations de maintenance et la s\u00e9curit\u00e9 des produits en ajoutant des fonctionnalit\u00e9s qui pr\u00e9disent les pannes avant qu\u2019elles ne se produisent.<\/p>\n

A titre d\u2019exemple, la solution e-AI de d\u00e9tection de d\u00e9faillance pour les appareils m\u00e9nagers \u00e9quip\u00e9s de moteur peut contr\u00f4ler jusqu’\u00e0 quatre moteurs car elle utilise le MCU haute performance RX66T. Les machines \u00e0 laver actuelles comportent g\u00e9n\u00e9ralement trois moteurs : un pour faire tourner la cuve de lavage, un pour commander la pompe de circulation de l\u2019eau et un pour faire tourner le ventilateur de s\u00e9chage. La solution e-AI de d\u00e9tection de d\u00e9faillance peut donc \u00eatre utilis\u00e9e pour contr\u00f4ler ces trois moteurs avec une seule puce RX66T tout en surveillant les trois moteurs \u00e0 la recherche de d\u00e9fauts.<\/p>\n

La nouvelle solution utilise le syst\u00e8me d’\u00e9valuation de contr\u00f4le moteur Renesas<\/a> etune carte CPU RX66T<\/a>. Ce mat\u00e9riel est associ\u00e9 \u00e0 un ensemble d’exemples de programme ex\u00e9cut\u00e9s sur le MCU RX66T, ainsi qu’\u00e0 un outil graphique permettant de collecter et d’analyser des donn\u00e9es issues des propri\u00e9t\u00e9s physiques indiquant les \u00e9tats du moteur. Afin de d\u00e9tecter les d\u00e9fauts, il est n\u00e9cessaire d’apprendre les caract\u00e9ristiques de l’\u00e9tat normal. \u00c0 l’aide de l’interface graphique, les ing\u00e9nieurs syst\u00e8me peuvent commencer imm\u00e9diatement \u00e0 d\u00e9velopper l’apprentissage de l’intelligence artificielle (AI) et de la fonctionnalit\u00e9 optimis\u00e9e de d\u00e9tection des pannes. Une fois les mod\u00e8les AI d\u00e9velopp\u00e9s, ceux-ci peuvent \u00eatre facilement programm\u00e9s dans le RX66T gr\u00e2ce \u00e0 l’environnement de d\u00e9veloppement e-AI<\/a>.<\/p>\n

www.renesas.com\/solutions\/key-technology\/e-ai\/e-ai-motor-failure-detection.html<\/a><\/p>\n

Renesas Electronics acc\u00e9l\u00e8re la conception de passerelles de r\u00e9seau de capteurs<\/a><\/h3>\n

Renesas Electronics et Mahindra Racing \u00e9tendent leur partenariat pour la 5eme saison<\/a><\/h3>\n

Microcontr\u00f4leurs basse consommation prolongeant la vie des batteries des wearables et autres dispositifs compacts<\/a><\/h3>\n","protected":false},"excerpt":{"rendered":"

Bas\u00e9e sur le microcontr\u00f4leur 32 bits RX66T, la solution e-AI propos\u00e9e par Renesas permet de d\u00e9tecter les pannes d\u2019appareils \u00e9lectrom\u00e9nagers, tels que les r\u00e9frig\u00e9rateurs, les climatiseurs et les machines \u00e0 laver.<\/p>\n","protected":false},"author":9,"featured_media":97137,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[],"domains":[47],"ppma_author":[1141],"class_list":["post-97136","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","domains-electronique-eci"],"acf":[],"yoast_head":"Renesas Electronics simplifie la maintenance des appareils m\u00e9n...<\/title>\n<meta name=\"description\" content=\"Bas\u00e9e sur le microcontr\u00f4leur 32 bits RX66T, la solution e-AI propos\u00e9e par Renesas permet de d\u00e9tecter les pannes d\u2019appareils \u00e9lectrom\u00e9nagers, tels que...\" 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