Vibration Basics Machine Reliability by Soliman Mohammed (26 results)

Condition: New.

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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

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Condition: New.

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Taschenbuch. Condition: Neu. Vibration Basics and Machine Reliability Simplified | A Practical Guide to Vibration Analysis | Mohammed Hamed Ahmed Soliman | Taschenbuch | Englisch | 2026 | Personal Lean Publications | EAN 9789403930831 | Verantwortliche Person für die EU: Bookmundo, Delftsestraat 33, 3013 AE ROTTERDAM, NIEDERLANDE, info[at]bookmundo[dot]com | Anbieter: preigu. …

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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. …

PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condition: New. Print on Demand.

Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.…

Paperback. Condition: 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.…

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 104 pp. Englisch.

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.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In order to identify unusual vibration occurrences and assess the general health of the test object, vibration analysis is a procedure that tracks vibration levels and looks into the patterns in vibration signals within a component, piece of equipment, or building. It is frequently conducted on both the frequency spectrum, which is derived by applying Fourier Transform to the time waveform, as well as the time waveforms of the vibration signal directly.Mechanical vibration Analysis should present 50% of any condition monitoring program. This book include a practical guide to vibration analysis to prepare practitioners to become certified analyst. Numerous examples with photos are included to present how to detect different types of equipment and assets failure include: bearing, shafts misalignment, unbalance, rotor problems, electric motors and more using spectrum analysis technique.…

Buch. 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 186 pp. Englisch.…

Paperback. Condition: 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.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In order to identify unusual vibration occurrences and assess the general health of the test object, vibration analysis is a procedure that tracks vibration levels and looks into the patterns in vibration signals within a component, piece of equipment, or building. It is frequently conducted on both the frequency spectrum, which is derived by applying Fourier Transform to the time waveform, as well as the time waveforms of the vibration signal directly.Mechanical vibration Analysis should present 50% of any condition monitoring program. This book include a practical guide to vibration analysis to prepare practitioners to become certified analyst. Numerous examples with photos are included to present how to detect different types of equipment and assets failure include: bearing, shafts misalignment, unbalance, rotor problems, electric motors and more using spectrum analysis technique. 104 pp. Englisch.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware 188 pp. Englisch.

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.…

Buch. 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.…