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

Mohammed Hamed Ahmed Soliman

ISBN 10: 940391159X / ISBN 13: 9789403911595

Published by Personal Lean Publications, 2026

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - This edition transforms the classic guide into a complete modern reference for anyone involved in machinery health, reliability engineering, and predictive maintenance.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.Inside:AI Integration: How machine learning can detect faults weeks before failure.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:Fundamentals of vibration analysis and machine dynamicsCommon fault types and their 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.

Seller Inventory # 9789403911595

Bibliographic Details

• Title: Vibration Basics and Machine Reliability Simplified : From Fundamentals to AI-Driven Predictive Maintenance
• Publisher: Personal Lean Publications
• Publication Date: 2026
• Language: English
• ISBN 10: 940391159X
• ISBN 13: 9789403911595
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 215W x 135H x 11D millimeters 215 millimeters width by 135 millimeters height by 11 millimeters depth
• Weight: 235 grams

About this title

Synopsis

This edition transforms the classic guide into a complete modern reference for anyone involved in machinery health, reliability engineering, and predictive maintenance. 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. Inside: AI Integration: How machine learning can detect faults weeks before failure. 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: Fundamentals of vibration analysis and machine dynamics Common fault types and their 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

About the Author

Dr. Mohammed Hamed Ahmed Soliman is an internationally recognized Lean expert, lecturer in Industrial Engineering and Management Systems at the American University in Cairo (AUC), executive advisor, and author of more than 150 books and scientific publications on Lean management, the Toyota Production System, quality systems, operational excellence, automotive engineering, and modern publishing systems. He is a member of the Advisory Committee of the IEOM International Society and brings nearly two decades of academic, industrial, and consulting experience across manufacturing, public services, education, and infrastructure sectors. His work bridges engineering, policy, and leadership, helping organizations design systems that flow intelligently and improve continuously. Dr. Soliman has trained professionals throughout the Middle East and has worked with organizations including Princess Nourah University in Saudi Arabia and Vale Oman Pelletizing Company. He is the founder of Personal Lean Publications and continues to write on Lean transformation, industrial systems, automotive technologies, and the evolving global publishing ecosystem.