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Machinery Oil Analysis & Condition Monitoring : A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability
Machinery Oil Analysis & Condition Monitoring : A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability
Machinery Oil Analysis & Condition Monitoring : A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability
Ebook91 pages32 minutes

Machinery Oil Analysis & Condition Monitoring : A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability

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The laboratory examination of a lubricant's characteristics, suspended impurities, and wear debris is known as oil analysis (OA). OA is carried out as part of regular predictive maintenance to deliver precise and useful data on lubricant and machine condition. Trends can be found by following the findings of oil analysis samples over the course of a certain machine. These trends can help avoid expensive repairs. Tribology is the study of wear in machinery. Tribologists frequently perform or interpret results from oil analyses.

Oil analysis is a long-term program that, where relevant, can eventually be more predictive than any of the other technologies. It can take years for a plant's oil program to reach this level of sophistication and effectiveness. This book includes what all practitioners need to know to build an oil analysis program for their machine inspection. This book includes three real case studies and numerous industrial examples to improve machine reliability and enhance the condition monitoring program.

LanguageEnglish
Publisherpersonal-lean.org
Release dateSep 27, 2020
ISBN9798215304051
Machinery Oil Analysis & Condition Monitoring : A Practical Guide to Sampling and Analyzing Oil to Improve Equipment Reliability
Author

Mohammed Hamed Ahmed Soliman

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 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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Rating: 3.4 out of 5 stars
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  • Rating: 5 out of 5 stars
    5/5

    Jun 26, 2024

    Good read on Predictive Maintenance PdM techniques, OA should be presented in 10-15% of any PdM or Reliability maint program
  • Rating: 5 out of 5 stars
    5/5

    Aug 25, 2023

    You rarely can find books about this subject, author made it clear to the point how Oil analysis can be used to improve reliability

Book preview

Machinery Oil Analysis & Condition Monitoring - Mohammed Hamed Ahmed Soliman

​Chapter 1

Introduction to Maintenance

Reliability centered maintenance promotes the use of Predictive and Risk Maintenance policies for identified critical equipment.

Maintenance Policies and Strategies

​​Predictive Maintenance Techniques

Reliability KPIs

​Why Using Condition Monitoring Programs (Predictive Maintenance)?

Benefits of setting up a Predictive Maintenance (PdM) program:

1. To detect what is out of the human sense.  2. To discover hidden failures.

3. To detect early failures & monitor the machine  health condition.

4. To reduce Maintenance Costs.

5. As a useful tool to improve the machine reliability.

Four tools make up 85% of any PdM program

Vibration present 45% of PdM programs, oil present 15% but it can detect faults in equipment that vibration can’t, e.g. electric transformers and hydraulic systems.

​Other PdM Techniques and Comparison

Notes: 

Motor diagnosis = motor current analysis, and it’s a technique involve intensive diagnosis of motor currents.

Oil Analysis involve Wear Particles Analysis for more intensive diagnosis about the sources of failure. For more information about the technique read the book: Machinery Oil Analysis and Condition Monitoring.

Thermography: involve thermal analysis using infrared camera. For more information about the technique, read the book: Industrial Applications of Infrared Thermography.

Ultrasound Analysis: is an acoustic method based on high frequencies measurement. For more information, read

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