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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?
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