Predictive Maintenance Automation for Complex Systems

Create an advanced predictive maintenance system using multi-modal sensor data analysis, machine learning, and real-time anomaly detection. Develop a comprehensive architecture that integrates time-series data processing, implements adaptive prediction models, and supports automated intervention workflows. Include detailed failure prediction algorithms and a robust notification/escalation framework.