Python: Predictive Maintenance System

This Python snippet implements a predictive maintenance system using machine learning with the 'scikit-learn' library. It's tailored for manufacturers and facility managers who need to predict equipment failures before they occur to minimize downtime and maintenance costs.

The snippet uses historical data to train a model that can predict potential failures based on patterns and anomalies in equipment behavior. This predictive capability allows for timely maintenance actions, preventing costly unplanned outages.

Using 'scikit-learn', the code processes and analyzes sensor data to identify trends that precede equipment failures, enabling proactive maintenance strategies that enhance operational reliability and efficiency.

This tool is crucial for industries where equipment reliability is paramount, such as manufacturing, energy, and transportation, providing a significant return on investment by reducing maintenance costs and extending equipment life.

Below is the complete implementation of the predictive maintenance system, a key innovation for achieving operational excellence in industrial settings.