Hotel Ibis Yogyakarta l 15 – 17 Oktober 2014 l 08.00-16.00 WIB

Rp.6.000.000,- per peserta (Non-Residential)

Rp.5.000.000,- per peserta (Pendaftaran 4 peserta dari 1 perusahaan)


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.

This course is designed to help you prepare for the Machine Lubricant Analyst (MLA) certification. It covers foundational oil analysis information including oil sampling, lubricant health monitoring, contamination measurement and control, and wear debris monitoring.(evp)


This course is designed for participants in order to improve knowledge and skill in:

  • Understanding if you are using the wrong oil
  • 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


  1. Introduction
    • The case for condition-monitoring
  2. Lubricant Fundamentals
    • 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
  3. Lubricant Performance Tests
    • Acid & Base Numbers
    • Pour & Flash Points
    • Specific & API Gravity
    • Seal compatibility
    • Color
    • Foaming, Dispersancy, Demulsibility
    • Filterability
    • Rust & Corrosion
    • Oxidation & Thermal Stability
    • Tribological Testing
  4. Lubricant AnalysisThis 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)
  5. Grease Fundamentals
    • Functions of Grease
    • Base oils, Additives and Soaps
    • Properties of Grease
    • Analysis of Grease for Predictive Maintenance
  6. Program Management
    • Maintenance Strategies
    • The role of Oil Analysis
    • Setting Program Goals
    • Oil Sampling
    • Completing Sample Information
    • Reading Oil Analysis Sample Reports

Ir. Janu Pardadi, MT

He has experience for more than 15 years in project engineering in various companies; especially in Mechanical Design. He is currently as an associate consultant who has expertise in Mechanical, Manufacture Engineering, Internal Combustion Engine, Material Design, Tribology and Corrosions.


  • All Maintenance Professionals
  • Reliability Engineers
  • Lubrication Engineers
  • Craftsmen and Millwrights
  • Equipment Operators
  • Operations & Maintenance Managers
  • Lubrication Technicians
  • Manufacturing and Industrial Engineers
  • Maintenance Supervisors
  • Vibration Instrument Specialists
  • Predictive Maintenance Technicians
  • Laboratory Analysts


  • Certificate, Training Kit, Module / Handout, Softcopy (USB flashdisk) Lunch, Coffee Break, Souvenir
  • Transportasi antar jemput selama training ( bandara / stasiun/ terminal, Hotel-tempat pelatihan PP)


  • Presentation
  • Discussion
  • Case Study
  • Evaluation


Biaya Investasi: Rp.6.000.000,- per peserta (Non Residential)

Rp.5.000.000,- per peserta (Pendaftaran 4 peserta dari 1 perusahaan)

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