Case Study
Siemens Gamesa partners with Fujitsu to co-create an Artificial Intelligence platform
At a glance Country: Denmark Industry: Renewable Energy Founded: 1847 Website: siemens.com Challenge Siemens must put each of the 5,000 blades it produces annually through a stringent quality assurance process. Any flaws when a blade is in operation could prove catastrophic and could inflict major damage to the company’s reputation. However, manually evaluating UT scanning of each blade takes up to six hours. Solution The company wanted a faster solution that wouldn’t compromise on accuracy or safety. Working with long-term partner Fujitsu, together they co-created an Artificial Intelligence solution that could automatically detect flaws through machine learning and deep learning capabilities. Benefit ¦ Evaluation of each NDT scanning reduced by 80% ¦ Flexible licensing e