Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance

This enhanced edition transforms the classic guide into a complete modern reference for anyone involved in machinery health, reliability engineering, and predictive maintenance.

Whether you are a maintenance engineer, reliability professional, or industrial manager, this book walks you from the core principles of vibration analysis to advanced AI-powered fault detection. The result is a clear, practical, and future-ready approach to keeping machines running at peak performance.

What's New in the Enhanced Edition 2025:

• AI Integration: Learn how machine learning can detect faults weeks before failure.
• Modern Case Studies: Real-world examples from pumps, motors, gearboxes, and rotating equipment.
• Updated Methods: Digital twins, motion amplification, ultrasonic detection, and MCSA.
• Expanded Fault Coverage: From unbalance and misalignment to looseness, electrical defects, and rotor eccentricity.
• Foundation to Future: Bridging traditional techniques with Industry 4.0 predictive tools.

Key Topics Include:

• Fundamentals of vibration analysis and machine dynamics
• Common fault types and their vibration signatures
• Data collection, sensor placement, and interpretation techniques
• Practical corrective actions to eliminate root causes
• Best practices for a sustainable condition monitoring program
• AI-based workflows for automated diagnostics and RUL prediction

With clear explanations, step-by-step methods, and a balance of theory and hands-on application, this book is your go-to resource for mastering both classical and modern vibration analysis.

Dr. Mohammed Hamed Ahmed Soliman is an internationally recognized Lean expert, author, and university lecturer. He has published over 100 books and articles on Lean thinking, quality systems, and industrial excellence. He currently teaches Industrial Engineering and Management Systems at the American University in Cairo, an Executive Advisor and a member of the Advisory Committee of the IEOM International Society, and consults for global organizations across manufacturing, public services, and education.

With nearly two decades of academic and professional experience, Dr. Soliman has trained professionals across the Middle East, including engagements with Princess Nourah University in Saudi Arabia and Vale Oman Pelletizing Company. He has designed and delivered over 60 leadership and technical development programs, helping organizations build a culture of continuous improvement and operational excellence.

Earlier in his career, he worked in various industrial sectors including crystal-glass manufacturing, fertilizers, and chemicals, while educating teams on the Toyota Production System. He has led numerous lean transformation projects, delivering measurable results and uncovering substantial cost savings by targeting waste across production and service environments.

His lectures and training materials have reached over 200,000 learners via SlideShare, and his research is ranked among the most downloaded papers on the Social Science Research Network (SSRN) by Elsevier.

Dr. Soliman holds a BSc in Engineering, a master's in Quality Management, and postgraduate degrees in Industrial Engineering and Engineering Management. He also holds certifications in quality, cost, and operations management. He is a member of the Institute of Industrial and Systems Engineers (IISE) and the Society for Engineering and Management Systems (SEMS).

His insights have been featured in SAGE Publications, Industrial Management, Lean Thinking, and other peer-reviewed platforms.