• 5-Day Training Course

Machinery Vibration & Condition Monitoring

Date Venue Fees Enroll

10 Feb - 14 Feb 2025

Dubai - UAE

$5,500

Enroll Now

14 Apr - 18 Apr 2025

Abuja - Nigeria

$6,500

Enroll Now

16 Jun - 20 Jun 2025

Dubai - UAE

$5,500

Enroll Now

11 Aug - 15 Aug 2025

Dubai - UAE

$5,500

Enroll Now

13 Oct - 17 Oct 2025

Dubai - UAE

$5,500

Enroll Now

15 Dec - 19 Dec 2025

Muscat – Oman

$5,500

Enroll Now

Course Introduction

This 5-day training program provides participants with a comprehensive understanding of vibration analysis and condition monitoring techniques used to ensure the reliability of rotating machinery. The course covers the fundamentals of vibration, various monitoring techniques, data collection methods, and how to interpret vibration signals to diagnose potential faults. It also includes practical sessions to apply these techniques in real-world scenarios.

Objectives

By the end of the course, participants will:

    Understand the principles of machinery vibration and its effects on equipment performance.

    Learn various condition monitoring techniques and their applications.

    Identify and diagnose common machinery faults using vibration analysis.

    Use vibration monitoring tools and equipment effectively.

    Develop preventive maintenance strategies to reduce downtime and improve reliability.

    Ensure compliance with safety standards in vibration monitoring practices.

 

Training Methodology

This interactive training course includes the following training methodologies as a percentage of the total tuition hours:-

  • 30% Lectures, Concepts, Role Play
  • 70%  Workshops & Work Presentations, Techniques, Based on Case Studies & Practical Exercises, Software & General Discussions       Pre and Post Test

Target Audience

  • Maintenance Engineers
  •  Mechanical Technicians
  • Reliability Engineers
  •  Plant Supervisors
  •  Condition Monitoring Specialists
  •  Any personnel involved in machinery maintenance

 

Daily Topics

Day 1: Fundamentals of Vibration and Condition Monitoring

    Introduction to vibration analysis

    Types of vibration (free, forced, resonant)

    Causes of vibration in rotating machinery

    Basics of condition monitoring

    Importance of predictive maintenance

Practical Session: Introduction to vibration monitoring equipment

Day 2: Vibration Analysis Techniques

    Frequency, amplitude, and phase measurements

    Vibration spectrum analysis

    Time-domain vs. frequency-domain analysis

    Identifying different types of machinery faults (imbalance, misalignment, looseness)

    Equipment-specific vibration characteristics

Practical Session: Hands-on data collection and signal interpretation

Day 3: Condition Monitoring Methods

  Common condition monitoring techniques:

   Vibration monitoring

   Oil analysis

   Thermography

   Ultrasound monitoring

  Selecting the right monitoring method

  Setting up a condition monitoring program

Practical Session: Using different condition monitoring tools

Day 4: Diagnosing Machinery Faults

Common machinery faults and their vibration patterns:

    Bearing failures

    Gearbox issues

    Imbalance and misalignment

    Resonance problems

    Troubleshooting strategies

    Case studies of machinery failures

Practical Session: Fault diagnosis using real-world examples

Day 5: Preventive Maintenance and Reporting

    Developing a preventive maintenance plan

    Setting alarm thresholds and triggers

    Reporting and documenting vibration analysis results

    Using condition monitoring data for decision-making

    Safety considerations in vibration monitoring

Practical Session: Final assessment: Analyzing a machine’s condition and creating a report

Assessment:

    Daily quizzes

    Practical assessments on vibration analysis and condition monitoring

Certification:

Participants will receive a Certificate in Machinery Vibration & Condition Monitoring upon successful completion of the course.

 

For Registration & more information please contact

NAYEL Training Centre 

T: +971 4 379 7245 | M: +971 50 249 6876 WhatsApp +971 50 249 6876

Email [email protected]

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