... field of ML is anomaly detection (AD). An anomaly fundamentally refers to a deviation from normal or expected behavior. Detecting flashback can be translated to the broad topic of AD, as it deviates from steady hydrogen combustion operation. Anomaly detection is usually considered as an unsupervised...

... and the variety needed still set limitations. Therefore, anomaly detection (AD) methodologies are proposed as alternatives for fault detection. Deep learning tools have been introduced in the research field of wind turbine monitoring for the purpose of higher detection accuracy. In this work, a deep learning...