CITED

  • Duration 3 days
  • Lectures 0
  • Skill level All levels
  • Quizzes 0
  • Pass parcentages 80
  • Certificate Yes
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  • Category:

    GENERAL SECTOR

₦200,000.00
  • 0 enrolled students
  • english

This 3-day intensive training program equips participants with the knowledge and skills to understand machinery failure mechanisms, analyze vibrations, and implement predictive maintenance strategies. By proactively identifying and addressing potential issues, participants can significantly improve equipment uptime, reduce maintenance costs, and enhance overall plant reliability.

Machinery Failure, Vibration Analysis, and Predictive Maintenance

Introduction:

 

This 3-day intensive training program equips participants with the knowledge and skills to understand machinery failure mechanisms, analyze vibrations, and implement predictive maintenance strategies. By proactively identifying and addressing potential issues, participants can significantly improve equipment uptime, reduce maintenance costs, and enhance overall plant reliability.

Objectives:

  • Gain a comprehensive understanding of common machinery failure modes and root causes.
  • Learn the principles of vibration analysis and its role in predictive maintenance.
  • Master the use of vibration measurement tools and data interpretation techniques.
  • Develop the ability to identify and diagnose various machinery faults based on vibration signatures.
  • Implement effective predictive maintenance programs to optimize equipment performance and minimize downtime.

Content:

Day 1: Understanding Machinery Failure:

  • Introduction to machinery failure analysis
  • Different wear and tear mechanisms (adhesive, abrasive, fretting, etc.)
  • Fatigue and its impact on machinery components
  • Common failure modes of bearings, seals, gears, and shafts
  • Case studies of real-world machinery failures.

Day 2: Avoiding Failures through Proactive Maintenance:

  • Fundamentals of reliability engineering and maintenance strategies
  • Statistical analysis of machinery failure data
  • Troubleshooting techniques for identifying potential problems
  • Implementing preventive maintenance programs
  • Introduction to condition monitoring technologies

Day 3: Understanding and Implementing Predictive Maintenance:

  • Predictive maintenance concepts and benefits
  • Overview of various predictive maintenance technologies (vibration analysis, oil analysis, thermography)
  • Selecting the appropriate predictive maintenance technique for different applications
  • Introduction to vibration analysis principles and tools
  • Frequency analysis using Fast Fourier Transform (FFT)
  • Understanding basic vibration signatures for common faults

Conclusion:

This 3-day training program equips participants with the necessary knowledge and skills to become proficient in machinery failure analysis, vibration monitoring, and predictive maintenance practices. By proactively addressing equipment health, participants can contribute to increased plant efficiency, reduced costs, and improved operational safety.

 

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