Wind

I often hear the same “good” reasons to not inspect blades regularly. Are these trully justified? ...

Kushal Nowbut in 2019: 20 missions, more than 100 days of fieldwork and 500 wind turbines inspected. He presents in this interview how he uses the Panoblade system and his personal record of 11 wind turbines inspected in one day. ...

To have a complete and easy overview of your blades, at Cornis we have developed machine learning tools to automatically rebuild calibrated panoramas of your blades. In this article I will give you a sneak peek of how we automatically transform all the images you take on site into a complete blade reconstruction. ...

During spring 2018, William1 a site manager needed to do end of warranty blade inspections. Because of other urgencies on site he had only 2 weeks to complete his inspections. With the deadline approaching he wanted to send his fastest technician on site. John1 and Harry1 had both been trained recently to use Panoblade and had already inspected during more than 30 days. By using Cornis Marks, William was able to see that Harry takes around 85mins per turbine and John only 68min. John is 20% faster which allows him to do one more turbine per day. ...

When doing inspections, the worst case scenario is to have to redo an inspection because the data acquired is not good enough to do an assessment. To check the quality of the data we process, we have built five metrics to have an objective and measurable point of view on the quality of the data and onsite acquisition work. ...

Since 2015, machines can dream and their dreams, like the one below, looks like the image below. Behind these new images, a new type of algorithm : deep learning. Since then every single media on the planet has talked about deep learning and its applications. Deep Learning is a specific Machine Learning algorithm. Most times the scientific community is looking for ways to modelise a problem to be able to predict what will happen in the future. ...