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Maximize equipment reliability. Reduce downtime. Harness the power of AI for smarter oil analysis.
In today's competitive industrial environment, machinery failures are costly-not just in repairs, but in lost production and efficiency. This enhanced edition of Machinery Oil Analysis & Condition Monitoring combines proven oil analysis methods with the latest in artificial intelligence, IoT, and predictive maintenance strategies.
Drawing on over a decade of engineering experience, Mohammed Hamed Ahmed Soliman provides a practical, hands-on guide to implementing modern oil analysis programs that deliver measurable ROI.
Inside You'll Learn:
Fundamentals of Oil Analysis - Sampling, testing methods, and contamination control. Condition Monitoring Techniques - How oil data integrates with vibration, thermography, and ultrasonic testing. AI & Machine Learning in Oil Analysis - Predict failures before they happen with advanced analytics. Real-World Case Studies - From industrial plants to fleet maintenance operations. Step-by-Step Implementation Guide - Build your own AI-powered oil analysis program. Future Trends - Digital twins, autonomous maintenance, and sustainable lubrication strategies.
Whether you are a maintenance engineer, reliability professional, plant manager, or technical student, this book equips you to:
Detect early signs of wear and contamination. Extend oil life and reduce waste. Cut costs through targeted, data-driven maintenance. Stay ahead of the curve in Industry 4.0 and 5.0 environments.
Includes:
12 updated chapters with enhanced figures, examples, and AI-powered insights. Implementation flowcharts, sample reports, and ROI calculation templates. Special coverage on integrating online sensors and predictive analytics.
Turn your oil analysis program into a competitive advantage. Get the Enhanced Edition and start building smarter, more reliable machinery today.
