Senior Reliability Engineer AES Clean Energy Louisville, Colorado
Presentation Description: Improve Wind Turbine performance and reliability by unlocking the power of AI/ML models. We have created an internal standard in our organization to use Principle Component Analysis (PCA) to make the "haystack" smaller to find that needle. We are able to detect a wide range of anomalies with these models in a very short timeframe without the need to spend a lot of time training the model. This PCA model allows us to perform a fleet wide analysis and an individual turbine analysis all at the same time!
