Vibration Basics and Machine Reliability Simplified

From Fundamentals to AI-Driven Predictive Maintenance

De: Mohammed Hamed Ahmed Soliman

Narrado por: Virtual Voice

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.