Siemens Gamesa Renewable Energy, S.A.

Co-creation of an Artificial Intelligence solution to quickly identify flaws during quality checks

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 Ultrasonic Testing (UT) scanning of each blade takes up to 6 hours. Working with long-term partner Fujitsu, together they co-created an Artificial Intelligence (AI) solution that could automatically detect flaws through machine learning and deep learning capabilities; it achieved 100% coverage of all defects and evaluation of each Nondestructive Testing scanning reduced by 80%.

Fujitsu’s ground-breaking Artificial Intelligence technology dramatically cuts the time required for an inspection of turbine blades.

Kenneth Lee Kaser,
Head of Supply Chain Management,
Siemens Gamesa

Download PDF

Customer Profile

Company NameSiemens Gamesa Renewable Energy, S.A. WebSite
AddressParque Tecnologico de Bizkaia, Edificio 222, Zamudio, Spain
Top of Page