Advanced Predictive Maintenance Modeling Pipeline

Build a comprehensive Python machine learning pipeline for predictive maintenance using scikit-learn and TensorFlow. The solution should handle sensor data preprocessing, feature engineering, multiple model architectures (including ensemble methods), and provide a complete workflow for training, validation, and deployment. Implement cross-validation techniques, hyperparameter optimization, and a modular approach that can be adapted to different equipment and industry contexts.