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

By Mohammed Hamed Ahmed Soliman

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 dynamicsCommon fault types and their vibration signaturesData collection, sensor placement, and interpretation techniquesPractical corrective actions to eliminate root causesBest practices for a sustainable condition monitoring programAI-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.

• Format: Paperback
• Language: English
• ISBN: B0FPWWZNVG
• ISBN13: 9798263668785
• Release Date: September 2025
• Publisher: Independently Published
• Length: 186 Pages
• Weight: 0.42 lbs.
• Dimensions: 0.4" x 5.0" x 8.0"