{"id":87367,"date":"2026-04-16T10:00:22","date_gmt":"2026-04-16T09:00:22","guid":{"rendered":"https:\/\/www.perceptual-robotics.com\/?p=87367"},"modified":"2026-04-14T16:49:40","modified_gmt":"2026-04-14T15:49:40","slug":"ai-and-blade-maintenance-new-research-published","status":"publish","type":"post","link":"https:\/\/www.perceptual-robotics.com\/es\/ai-and-blade-maintenance-new-research-published\/","title":{"rendered":"AI and Blade Maintenance &#8211; New Research Published"},"content":{"rendered":"<p><span style=\"font-weight: 400;\">A new article discussing AI-driven wind turbine blade maintenance has just been published in the Italian energy magazine <\/span><i><span style=\"font-weight: 400;\">QualEnergia Science<\/span><\/i><span style=\"font-weight: 400;\">.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">The paper looks at how automated inspection systems can support three critical steps in blade management:<\/span><\/p>\n<ul>\n<li><span style=\"font-weight: 400;\"> Damage detection<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u2022 Technical assessment<\/span><span style=\"font-weight: 400;\"><br \/>\n<\/span><span style=\"font-weight: 400;\">\u2022 Economic optimisation of repairs<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400;\">The goal is straightforward: help operators understand which damages require immediate intervention and which can be monitored over time.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Inspection data alone is not enough. What matters is turning that data into decisions that balance safety, availability and maintenance cost.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Our thanks to the authors and editors for the opportunity to contribute to the discussion around how AI can support better maintenance strategies across the wind sector.<\/span><\/p>\n<p>Read the article here: https:\/\/www.lanuovaecologia.it\/qualenergia-science\/karachaliou-lind-roca-2-2026\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A new article discussing AI-driven wind turbine blade maintenance has just been published in the Italian energy magazine QualEnergia Science.<\/p>\n","protected":false},"author":7,"featured_media":87368,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","footnotes":""},"categories":[1],"tags":[206,109,235,101,236,113,241,96,176,240,173,123,94,91,305,170,34,31,283,20,22,33,35,32,319,29],"class_list":["post-87367","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized","tag-bladehealth","tag-bladeinspections","tag-dhalion","tag-drone","tag-efficiencyunlocked","tag-energy","tag-industryinsights","tag-iso","tag-maintenance","tag-operationalefficiency","tag-operations","tag-perceptualrobotics","tag-quality","tag-robotics","tag-safety","tag-uav","tag-ai","tag-artificialintelligence","tag-bladeexpert","tag-bladerepair","tag-blades","tag-droneinspection","tag-innovation","tag-inspection","tag-qualenergia","tag-renewableenergy"],"acf":[],"yoast_head":"<!-- This site is optimized 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