Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance - Couverture souple
Livre 2 sur 9: Condition Monitoring & Predictive Maintenance Series
Synopsis
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 dynamics
- Common fault types and their vibration 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
With 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.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Vibration Basics and Machine Reliability Simplified
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Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance (Condition Monitoring & Predictive Maintenance Series)
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Vibration Basics and Machine Reliability Simplified
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PAP. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. N° de réf. du vendeur L0-9798263668785
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Vibration Basics and Machine Reliability Simplified (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798263668785
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Vibration Basics and Machine Reliability Simplified (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798263668785
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