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{"id":292,"date":"2026-11-06T12:49:28","date_gmt":"2026-11-06T11:49:28","guid":{"rendered":"https:\/\/www.remote-inspection.info\/?page_id=292"},"modified":"2026-11-06T13:08:04","modified_gmt":"2026-11-06T12:08:04","slug":"aeronex","status":"publish","type":"page","link":"https:\/\/www.remote-inspection.info\/index.php\/wind-power-utility\/aeronex\/","title":{"rendered":"AeroNex"},"content":{"rendered":"<ul class=\"wp-block-page-list\"><li class=\"wp-block-pages-list__item\"><a class=\"wp-block-pages-list__item__link\" href=\"https:\/\/www.remote-inspection.info\/index.php\/wind-power-utility\/aeronex\/consortium\/\">Consortium<\/a><\/li><\/ul>\n\n\n<h2 class=\"wp-block-heading\">AI-based Multi-modal Non-Destructive Aerial Inspection System and Digital Twin of Wind Farms<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">The AeroNeX project adopts an advanced scientific and technical approach that combines autonomous aerial robotics, multi-modal non-destructive testing (NDT) and AI-based data fusion with digital twin technology to create a breakthrough solution for predictive maintenance of wind turbine infrastructure. The project introduces a novel method for defect detection by integrating Ground Penetrating Radar (GPR) and X-Ray imaging with optical inspection technologies, enabling comprehensive internal and external assessment of wind turbine blades, towers, and foundations. This combination of subsurface and surface inspection capabilities marks a significant leap beyond the current state of the art, offering a new standard for autonomous infrastructure inspection in the wind energy sector.&nbsp;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This project brings together a consortium consisting of NORCE and Simis from Norway, and SpectX from the Netherlands, to create a unique international collaboration of industrial expertise, applied research capabilities and software innovation.&nbsp;<\/p>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-gray-color has-alpha-channel-opacity has-gray-background-color has-background is-style-default\"\/>\n\n\n\n<h3 class=\"wp-block-heading\">Objectives:<\/h3>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Develop an autonomous, multi-sensor aerial inspection system that combines GPR, X-Ray imaging, and visual inspection technologies to detect both visible external defects and hidden surface abnormalities.&nbsp;<\/li>\n\n\n\n<li>Process the collected data using AI models to automatically detect, classify, and segment defects to lower inspection times.&nbsp;<\/li>\n\n\n\n<li>Develop a fully integrated digital twin model that can enable predictive maintenance and lifetime extension of turbine components through a data-analytics platform that processes inspection data and generates actionable insights.<\/li>\n<\/ol>\n\n\n\n<hr class=\"wp-block-separator has-text-color has-gray-color has-alpha-channel-opacity has-gray-background-color has-background\"\/>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>AI-based Multi-modal Non-Destructive Aerial Inspection System and Digital Twin of Wind Farms The AeroNeX project adopts an advanced scientific and technical approach that combines autonomous aerial robotics, multi-modal non-destructive testing (NDT) and AI-based data fusion with digital twin technology to&#8230; <a href=\"https:\/\/www.remote-inspection.info\/index.php\/wind-power-utility\/aeronex\/\" class=\"read-more\">Read more<\/a><\/p>\n","protected":false},"author":9,"featured_media":296,"parent":235,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-292","page","type-page","status-publish","has-post-thumbnail","hentry"],"_links":{"self":[{"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/pages\/292","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/users\/9"}],"replies":[{"embeddable":true,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/comments?post=292"}],"version-history":[{"count":5,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/pages\/292\/revisions"}],"predecessor-version":[{"id":309,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/pages\/292\/revisions\/309"}],"up":[{"embeddable":true,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/pages\/235"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/media\/296"}],"wp:attachment":[{"href":"https:\/\/www.remote-inspection.info\/index.php\/wp-json\/wp\/v2\/media?parent=292"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}