Articoli correlati a Vibration Basics and Machine Reliability Simplified:...

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

Libro 2 di 9: Condition Monitoring & Predictive Maintenance Series

Soliman, Mohammed Hamed Ahmed

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

Sinossi

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

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Personal Lean Publications
Data di pubblicazione
2026
Lingua
Inglese
ISBN 10 
940391159X
ISBN 13 
9789403911595
Rilegatura
Copertina flessibile
Numero edizione
1
Numero di pagine
186
Contatto del produttore
Bookmundo
info@bookmundo.com

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