Vibration Basics and Machine Reliability Simplified: From Fundamentals to AI-Driven Predictive Maintenance

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

• Publication date: 6 August 2026
• Page count: 187
• Dimensions: Height 235 mm; Width 155 mm; Thickness 200 mm
• Publisher: Mijnbestseller B.V.
• Format: Hardback
• ISBN-13: 9789403925417