Advanced Anomaly Detection and Predictive Maintenance Model

Construct a comprehensive anomaly detection framework using machine learning techniques that can identify subtle patterns, predict potential failures, and provide actionable insights. Design the system to handle time-series data, support multiple detection algorithms, and generate explainable predictions with confidence intervals. Include methods for handling noisy datasets and dynamic threshold adjustment.