Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring

Physics-informed machine learning: A comprehensive review on applications in anomaly detection and condition monitoring Condition monitoring plays a vital role in ensuring the reliability and optimal performance of various engineering systems. Traditional methods for condition monitoring rely on physics-based models and statistical analysis techniques. However, these approaches often face challenges in dealing with complex systems and the limited availability of accurate physical models. In rec...