ICTD International Centre for Training and Development

Machinery Bearing, Lubrication and Reliability (Tribology)

Available dates

Nov 24—28, 2019
5 days
USD 3300
USD 660 per day


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About the course

To improve reliability of plant, many companies implement predictive maintenance program that using various technology to monitor machine health and eliminate at least reduce unplanned breakdown and extend MTBF of machine.

As vibration, oil analysis is important technology in monitoring critical machine. Gearbox and turbine are examples machines that more powerful if monitored using oil analysis technology.

Common problem that occurred are method and procedure of sampling oil, interpretation of oil analysis report and non-integration of oil analysis report with other technology like vibration. This course explain how to good sample method, how to analyze data, interpret report and how to integrate oil analysis data with vibration to build comprehensive report.

Course Objectives

Upon successful completion of this course, the delegates will be able to:

  • Determine the proper usage of oil for machinery bearing lubrication
  • Squeeze maximum life out lubrication
  • Set optimum oil analysis limit
  • Capable to take oil sampling with correct method and procedure
  • Have capability to analyze and building report

Course Outline

Day 1


  • The case for condition-monitoring


  • The History of oil
  • Functions of Lubricating Oil
  • Lubrication films
  • Mineral oil refining
  • Properties of Base Oil
  • viscosity and Classification
  • Oil Additives
  • Synthetic oils
  • Classification of oils
  • Performance Tests

Day 2


  • Acid & Base Numbers
  • Pour & Flash Points
  • Specific & API Gravity
  • Seal compatibility
  • Color
  • Foaming, Dispersancy, Demulsibility
  • Filterability
  • Rust & Corrosion
  • Oxidation & Thermal Stability
  • Tribological Testing

### Day 3

LUBRICANT ANALYSIS This module provides a detailed analysis of the methods utilized to detect Contamination, Fluid Degradation and Wear & Fatigue in lubricants.

  • Dirt
  • Rust & Corrosion
  • Glycol, Soot, Fuel
  • Nitration, Sulfate
  • Process Contaminants
  • Viscosity
  • Acid & Base Numbers
  • Fourier-Transform Infra-Red
  • Karl Fischer
  • Gas Chromatography
  • Particle Count
  • Elemental Analysis (ICP, AA, XRF)

Day 4


  • Functions of Grease
  • Base oils, Additives and Soaps
  • Properties of Grease
  • Analysis of Grease for Predictive Maintenance

Day 5


  • Maintenance Strategies
  • The role of Oil Analysis
  • Setting Program Goals
  • Oil Sampling
  • Completing Sample Information
  • Reading Oil Analysis Sample Reports

Course Methodology

A variety of methodologies will be used during the course that includes:

  • (30%) Based on Case Studies
  • (30%) Techniques
  • (30%) Role Play
  • (10%) Concepts
  • Pre-test and Post-test
  • Variety of Learning Methods
  • Lectures
  • Case Studies and Self Questionaires
  • Group Work
  • Discussion
  • Presentation

Who should attend

This course is intended to all maintenance professionals, lubrication technicians, machine and equipment predictive maintenance technicians, reliability and lubrication engineers, superintends, supervisors and technicians, maintenance managers, supervisors and foremen, rotating equipment engineers, plant engineers, PMV engineers, machinery engineers & laboratory analyst.

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