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course | Machinery Failure, Vibration & Predictive Maintenance

Looking to excel in machinery failure vibration predictive maintenance? Machinery Failure, Vibration & Predictive Maintenance in GCC offers applied tools, case

MEC-1157 | Machinery Failure, Vibration & Predictive Maintenance

Course Sector : Mechanical Engineering

Duration
Date from
Date to Course Venue Course fees Book a course
5 Days23/11/202627/11/2026Dubai$4,250 Book now
5 Days15/03/202719/03/2027Abu Dhabi$4,250 Book now
5 Days19/04/202723/04/2027Amsterdam$4,950 Book now
5 Days16/08/202720/08/2027Dubai$4,250 Book now

Course Introduction

Machines deteriorate as they get older, so we can expect a certain amount of performance falloff and general deterioration of the machine. If we understand the failure mechanisms that are in place, we can identify which parameters best indicate the deterioration of the machine.
 

Failure analysis and Predictive Maintenance techniques, including vibration analysis, are discussed in the training course with a view to optimising the maintenance engineering effort while maximising production. Other techniques that will be addressed include infrared thermography, passive ultrasonics, tribology, and performance monitoring.


Course objective

  • An understanding of Machine Failure Analysis techniques
  • An understanding of a range of Predictive Maintenance Technologies
  • Knowledge of the potential contribution of each of these technologies to maintenance efficiency
  • Guidelines indicating how these technologies can interact with and support each other
  • Hints and Tips for the practical application of these technologies so as to achieve the best results 

Course audience

  • Automotive Engineer
  • Boiler Engineer
  • Ceramics Engineer
  • Equipment Engineer
  • High-Pressure Engineer
  • Marine Engineer
  • Mechanical Design Engineer
  • Mechanical Engineer
  • Naval Architect
  • Pipeline Engineer
  • Power Engineer
  • Rotating Equipment Engineer
  • Senior Mechanical Engineer
  • Turbine Engineer
  • Validation Engineer

Course Outline | 01 DAY ONE

Understanding Failures
 

  • Machine Failure Analysis
  • Wear and Tribology
  • Fatigue Mechanisms
  • Plain, Tilt-pad, and Anti-friction Bearing and Seal Failures 

Course Outline | 02 DAY TWO

Reliability Fundamentals and Methods for Avoiding Failures
 

  • Fundamentals of Reliability of Machinery
  • Reliability Determination and Assessment Methods
  • Statistical Analysis of Machinery Failures
  • Workshop and Case Study 

Course Outline | 03 DAY THREE

Understanding Predictive Maintenance
 

  • Predictive Maintenance Concepts
  • Introduction
  • Maintenance Strategies
  • Predictive Maintenance – Background and History
  • Predictive Maintenance Technologies – An Overview
  • Potential Failure Analysis – Deciding Which Technologies to Apply
     

Vibration Analysis
 

  • Introduction to Vibration Analysis
  • Frequency Analysis and the Fast Fourier Transform
  • Vibration Transducers of Basic Failure Mechanisms with Examples 

Course Outline | 04 DAY FOUR

Using Predictive Maintenance
 

  • Vibration Standards and Alarm Levels
  • Vibration Diagnostics
  • Amplitude Demodulation – a.k.a Enveloping, SSE, HFD, Peak-Vue
  • Vibration on Rolling Element Bearings
  • Resonance – Identification & Cure
  • Other Predictive Maintenance Techniques
  • Infrared Thermography
  • Thermographic Applications
  • Passive Ultrasonics - Contact and Non-contact
  • Ultrasonic Applications
  • Tribology – Oil Analysis 

Course Outline | 05 DAY FIVE

Control Mechanisms
 

  • Managing Predictive Maintenance
  • Performance and Efficiency Monitoring
  • Managing the Predictive Maintenance effort
  • Cost Analysis of Reporting Techniques
  • Integrating Predictive Maintenance into the Maintenance Plan 
Course Certificates
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BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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