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Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance - Softcover
Book 2 of 9: Condition Monitoring & Predictive Maintenance Series
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
"synopsis" may belong to another edition of this title.
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.
From the Back Cover
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 this title" may belong to another edition of this title.
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Vibration Basics and Machine Reliability Simplified
Published by
Personal Lean Publications Jun 2026, 2026
ISBN 10: 940391159X
ISBN 13: 9789403911595
New
Taschenbuch
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 188 pp. Englisch. Seller Inventory # 9789403911595
Stock Image
Vibration Basics and Machine Reliability Simplified
Published by
Personal Lean Publications Jun 2026, 2026
ISBN 10: 940391159X
ISBN 13: 9789403911595
New
Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware 188 pp. Englisch. Seller Inventory # 9789403911595
Stock Image
Vibration Basics and Machine Reliability Simplified : From Fundamentals to AI-Driven Predictive Maintenance
Published by
Personal Lean Publications, 2026
ISBN 10: 940391159X
ISBN 13: 9789403911595
New
Taschenbuch
Seller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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
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Vibration Basics and Machine Reliability Simplified | From Fundamentals to AI-Driven Predictive Maintenance
Published by
Personal Lean Publications, 2026
ISBN 10: 940391159X
ISBN 13: 9789403911595
New
Taschenbuch
Seller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. Vibration Basics and Machine Reliability Simplified | From Fundamentals to AI-Driven Predictive Maintenance | Mohammed Hamed Ahmed Soliman | Taschenbuch | Englisch | 2026 | Personal Lean Publications | EAN 9789403911595 | Verantwortliche Person für die EU: Bookmundo, Delftsestraat 33, 3013 AE ROTTERDAM, NIEDERLANDE, info[at]bookmundo[dot]com | Anbieter: preigu. Seller Inventory # 135846972