In today’s competitive industrial landscape, downtime is costly — not just in money, but in reputation, customer trust, and operational efficiency. The future of maintenance lies in harnessing the power of Artificial Intelligence (AI) to move from reactive fixes to predictive insight and prescriptive action.
In this groundbreaking guide, Dr. Mohammed Hamed Ahmed Soliman — engineer, professor, and industry consultant — takes you on a practical journey into the world of AI-driven maintenance. You’ll discover how to transform operational data into actionable intelligence, reduce unplanned failures, extend equipment life, and maximize return on assets.
Inside, you’ll learn:
- The evolution from reactive and preventive maintenance to predictive and prescriptive strategies
- How to collect, prepare, and leverage industrial data for AI applications
- Core AI and machine learning techniques for failure prediction
- Prescriptive maintenance models that recommend optimal interventions
- Real-world case studies from manufacturing, energy, and transportation sectors
- Steps to integrate AI into existing systems and measure ROI
- Preparing your organization for Industry 4.0 and beyond
Whether you are a maintenance manager, reliability engineer, data scientist, or industry leader, this book equips you with the knowledge and tools to implement AI solutions that deliver measurable results.
Transform your maintenance strategy. Predict. Prescribe. Perform.
