Hands On Vibration Basics And Machine Reliability Simplified From Fundamentals To AI Driven Predictive Maintenance For Real World Machinery Health Condition Monitoring And Professional Reliability Engineering
✔️ 186 pages, enhanced 2025 edition, AI-driven fault detection
Unlock practical expertise that takes you from vibration fundamentals to AI driven predictive maintenance methods used in real-world machinery health monitoring. This guide is ideal for maintenance engineers, reliability professionals, and plant managers seeking dependable performance from pumps, motors, gearboxes, and rotating equipment.
✅ 186 pages with updated content and 2025 enhancements
✅ AI-powered fault detection focus and practical diagnostic steps
✅ Expanded fault coverage from unbalance and misalignment to rotor eccentricity
✅ Guidance on building a sustainable condition monitoring program
💡 What is vibration analysis and how does it support AI driven predictive maintenance for real world machinery health monitoring? This handy guide explains the concepts and practical steps that connect data to action.
- vibration analysis basics, fault signature identification, and measurement best practices
- digital twins, AI workflows, and remaining useful life predictions for proactive maintenance
- case studies from pumps, motors, gearboxes, and rotating equipment
- how to build a sustainable condition monitoring program with sensors and analytics