Machinery Oil Analysis & Condition Monitoring: A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability (Condition Monitoring & Predictive Maintenance) - Softcover
Book 3 of 9: Condition Monitoring & Predictive Maintenance Series
Synopsis
Oil analysis (OA) is a cornerstone of predictive maintenance, offering critical insights into lubricant quality, machinery condition, and wear trends. By examining a lubricant's properties, suspended particles, and wear debris, OA helps identify potential issues before they become costly failures, enabling proactive maintenance and improved equipment reliability.
Rooted in the principles of tribology-the study of wear in machinery-oil analysis provides long-term, actionable data that becomes increasingly predictive over time. A well-designed oil analysis program can surpass many other monitoring techniques in its ability to forecast maintenance needs and extend equipment life.
This book equips practitioners with everything needed to develop and implement a robust oil analysis program, including:
- Step-by-step guidance on building an effective oil monitoring program
- Practical techniques for sample collection, testing, and trend analysis
- Three real-world case studies illustrating program implementation
- Numerous industrial examples to enhance condition monitoring and machine reliability
Whether you are a maintenance engineer, reliability professional, or plant manager, this guide provides the tools and insights to maximize equipment performance, reduce downtime, and optimize lubrication practices.
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About the Author
Dr. Mohammed Hamed Ahmed Soliman is an internationally recognized Lean expert, author, and university lecturer. He has published over 100 books and articles on Lean thinking, quality systems, and industrial excellence. He currently teaches Industrial Engineering and Management Systems at the American University in Cairo, an Executive Advisor and a member of the Advisory Committee of the IEOM International Society, and consults for global organizations across manufacturing, public services, and education.
With nearly two decades of academic and professional experience, Dr. Soliman has trained professionals across the Middle East, including engagements with Princess Nourah University in Saudi Arabia and Vale Oman Pelletizing Company. He has designed and delivered over 60 leadership and technical development programs, helping organizations build a culture of continuous improvement and operational excellence.
Earlier in his career, he worked in various industrial sectors including crystal-glass manufacturing, fertilizers, and chemicals, while educating teams on the Toyota Production System. He has led numerous lean transformation projects, delivering measurable results and uncovering substantial cost savings by targeting waste across production and service environments.
His lectures and training materials have reached over 200,000 learners via SlideShare, and his research is ranked among the most downloaded papers on the Social Science Research Network (SSRN) by Elsevier.
Dr. Soliman holds a BSc in Engineering, a master's in Quality Management, and postgraduate degrees in Industrial Engineering and Engineering Management. He also holds certifications in quality, cost, and operations management. He is a member of the Institute of Industrial and Systems Engineers (IISE) and the Society for Engineering and Management Systems (SEMS).
His insights have been featured in SAGE Publications, Industrial Management, Lean Thinking, and other peer-reviewed platforms.
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