{"id":86757,"date":"2025-07-18T12:00:22","date_gmt":"2025-07-18T11:00:22","guid":{"rendered":"https:\/\/www.perceptual-robotics.com\/?p=86757"},"modified":"2026-04-07T16:29:23","modified_gmt":"2026-04-07T15:29:23","slug":"case-study-avoiding-a-month-of-downtime-with-on-site-drone-inspections","status":"publish","type":"post","link":"https:\/\/www.perceptual-robotics.com\/es\/case-study-avoiding-a-month-of-downtime-with-on-site-drone-inspections\/","title":{"rendered":"Case Study: Avoiding a Month of Downtime with On-Site Drone Inspections"},"content":{"rendered":"

Background<\/b>
\n<\/b> At a wind farm in Europe, a nearby resident reported unusual noise coming from a turbine. Standard protocol required shutting down the turbine and waiting up for an external contractor to carry out an inspection and then continue with the repairs.<\/span><\/p>\n

Challenge<\/b>
\n<\/b> With no immediate access to third-party inspection services, the turbine was offline for weeks\u2014 leading to significant generation losses and revenue impact.<\/span><\/p>\n

Solution<\/b>
\n<\/b> Instead of waiting, the site team could have immediately deployed <\/span>Eve<\/span><\/i>, their on-site inspection drone, to investigate the issue. They would have quickly\u00a0 identified the problem by just checking the images or with our AI assisted process, which in this case was wear on the leading-edge tape\u00a0<\/span><\/p>\n

Outcome<\/b>
\n<\/b> The team would then arrange a quick repair and have the turbine back online within just a couple of days\u2014saving nearly a month of potential downtime.<\/span><\/p>\n

Quick napkin Cost\/Savings numbers:<\/b><\/p>\n

For a 2,000 NEH (Net Equivalent Hours) site with a 2.5 MW turbine, 4 weeks of downtime would result in the following production loss (assuming evenly distributed wind, though real-world conditions vary):<\/span><\/p>\n