Machinery Condition Monitoring For Predective And Preventive Maintenance

Machinery Condition Monitoring For Predective And Preventive Maintenance

September 26, 2014

Jadwal Pelatihan Machinery Condition Monitoring For Predective And Preventive Maintenance

TanggalTempatKota
10 - 11 Desember 2024Loman Park HotelYogyakarta

Instructor by : Cecep Slamet Abadi

 

DESCRIPTION

Industrial machinery or power plant is a major supporter of the industry and has a very high critical rate. This means that if there is a sudden damage, the industry will experience huge losses both morally and materially. Therefore, industrial machine that has a high critical level must be monitoring to avoid a sudden damage. Maintenance techniques that can be applied is a preventive maintenance which the main point is a scheduled maintenance and predictive maintenance. By applying predictive maintenance, the symptoms of damage can be detected as early as possible and the cost of treatment can be suppressed or reduced.

 

OBJECTIVES

  • Participants understand machine condition monitoring techniques
  • Participants can choose the engine condition monitoring techniques
  • Participants can do the monitoring machine condition

 

WHO SUPPOSED TO ATTENDED

  • Electrical Engineer/Supervisor
  • Instrument Engineer/Supervisor
  • Professionals
  • Plant Maintenance/Operators/Supervisors/Superintendent
  • Technician

 

OUTLINE

  1. Maintenance techniques and strategies
  2. Basic regular maintenance
  3. Basic predictive maintenance
  4. Bathtub curve
  5. Selection of machine condition monitoring techniques
  6. Inspection / monitoring of visual
  7. Use of lubricants
  8. Lubricant contaminants
  9. Inspection / monitoring and analysis of lubricants
  10. Inspection / monitoring and vibration analysis
  11. Vibration spectrum analysis
  12. Inspection and monitoring of geometric
  13. Analysis of leveling, run out and misalignment
  14. Alignment shaft

 

TRAINING METHOD

Presentation

Discussion

Case Study

Evaluation

 

TRAINING FEE

Rp.7.500.000,- / peserta/ non residential

 

 

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