Real-time diagnostic methods for gas turbines
- Objective: Application of computer vision and machine learning techniques to monitor detonation wave behavior in real time to experimental RDEs.
- Methods: Convoluted neural networks (CNNs) applied to high-speed conventional detonation imaging for image classification and object detection with You Only Look Once (YOLO) architecture, and time-series classification.
- Results: No single diagnostic structure outperforms the others in all metrics. Each method offers solutions uniquely beneficial to a given study based on primary objectives and constraints, justifying the need for a portfolio of ML capabilities with networks tailored to specific needs throughout the research community.
