Condition Monitoring & Predictive Maintenance 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 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 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.