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Machinery Failure Analysis, Vibration & Predictive Maintenance: Machinery Diagnostics & Root Cause Failure Analysis to Improve Equipment Performance

Dates Venues Register
24/01/2027 - 28/01/2027 KUALA LUMPUR

Introduction

Machinery Failure Analysis, Vibration & Predictive Maintenance: Machinery Diagnostics & Root Cause Failure Analysis to Improve Equipment Performance

 

 

Objectives

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

 

Who should Attend?

  • Supervisors
  • Team Leader
  • Professionals in Maintenance, Engineering and Production

 

 

Course Outline
Day 1

Understanding Failures

  • Machine Failure Analysis
    • Wear and Tribology
    • Fatigue Mechanisms
    • Plain, Tilt-pad and Anti-friction Bearing and Seal Failures
Day 2

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
Day 3

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
    • Basic Failure Mechanisms with Examples
Day 4

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
Day 5

Control Mechanisms

  • Managing Predictive Maintenance
    • Performance and Efficiency Monitoring
    • Managing the Predictive Maintenance effort
    • Cost Analysis
    • Reporting Techniques
    • Integrating Predictive Maintenance into the Maintenance Plan
Course Outline
Day 1

Understanding Failures

  • Machine Failure Analysis
    • Wear and Tribology
    • Fatigue Mechanisms
    • Plain, Tilt-pad and Anti-friction Bearing and Seal Failures
Day 2

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
Day 3

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
    • Basic Failure Mechanisms with Examples
Day 4

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
Day 5

Control Mechanisms

  • Managing Predictive Maintenance
    • Performance and Efficiency Monitoring
    • Managing the Predictive Maintenance effort
    • Cost Analysis
    • Reporting Techniques
    • Integrating Predictive Maintenance into the Maintenance Plan

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