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Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance
Paperback
Series: Condition Monitoring & Predictive Maintenance
Publisher: Independently Published
Published: Sep 4 2025
Pages: 186
Weight: 0.42
Height: 0.43 Width: 5.00 Depth: 8.00
Language: English
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.
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