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

Buch 2 von 9: Condition Monitoring & Predictive Maintenance Series

Soliman, Mohammed Hamed Ahmed

 
9789403911595: Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance
Softcover
ISBN 10: 940391159X ISBN 13: 9789403911595
Verlag: Personal Lean Publications, 2026

Inhaltsangabe

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

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Über die Autorin bzw. den Autor

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.

Von der hinteren Coverseite

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

„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Personal Lean Publications
Erscheinungsdatum
2026
Sprache
Englisch
ISBN 10 
940391159X
ISBN 13 
9789403911595
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
188
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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Osnabrück
Niedersachsen
49078
Deutschland