Predictive Analytics and Machine Learning for Maintenance

This course covers the fundamentals and practical application of predictive analytics and machine learning (ML) techniques to drive smart maintenance strategies. Focus is placed on reducing unplanned downtime and improving asset performance.

• Learn the basics of predictive analytics and ML in maintenance.
• Collect and preprocess maintenance data effectively.
• Build ML models for failure prediction.
• Identify critical equipment through data analysis.
• Deploy data-driven maintenance scheduling and optimization.

• Introduction to Predictive Maintenance
• Data Collection and Cleaning
• ML Algorithms and Feature Engineering
• Model Training, Validation, and Deployment
• Case Studies in Oil & Gas and Heavy Industries

Maintenance planners, reliability engineers, data scientists, and operations analysts.

Coding labs, Python notebooks, maintenance case data, model building exercises.

Participants will gain hands-on experience in developing ML-driven maintenance systems.