Digital Model of a Wind Turbine Oriented to Broken Tooth Analysis

Digital Twins are a valuable tool for managing the health of industrial components, thanks to their ability to detect and diagnose failures. This paper presents a novel Digital Model as the foundational step towards developing a Digital Twin. It enables the detection of broken tooth failure in wind turbine drive-trains by using wind data and vibration analysis. The model is projected into the future as a monitoring tool by allowing visual indicators of failure patterns to be identified and subsequently compared with real signals of this critical component.