Vibration Basics and Machine Reliability Simplified
From Fundamentals to AI-Driven Predictive Maintenance
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 predictionWith 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.
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Produktinformationen "Vibration Basics and Machine Reliability Simplified"
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 predictionWith 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.
Untertitel
From Fundamentals to AI-Driven Predictive Maintenance
H | B | T | Gramm
203 mm | 127 mm | 11 mm | 207 gr
Erscheinungsjahr
2025
FSK
0
Ausgabe
Taschenbuch
Verlag
personal-lean.org
ISBN-10
9798231458424
Autor
Mohammed Hamed Ahmed Soliman
Sprache
Englisch
Seitenanzahl
186
Verantwortliche Person
gemäß Art. 16 GPSR
Buchpark GmbH, Krügerweg 1, 14959 Trebbin, Telefon: +4933817976585, E-Mail: info@buchpark.de
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