Developing Anomaly Detection and RUL Prediction Models

Implement a time-series anomaly detection system using deep learning (e.g., LSTM autoencoders) to identify unusual patterns in the simulated telemetry. Concurrently, develop a Remaining Useful Life (RUL) prediction model for a critical component. How will your models leverage the physics-informed aspects to improve accuracy and interpretability?