Overview

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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