Predictive Maintenance and Anomaly Detection System

Develop an advanced predictive maintenance framework in JavaScript that uses machine learning to predict equipment failures, detect anomalies, and optimize maintenance schedules. Implement time series forecasting, survival analysis, and probabilistic failure prediction models. Create a flexible system for ingesting sensor data, performing feature engineering, and generating actionable maintenance recommendations. Include comprehensive performance tracking and uncertainty quantification.