Course details

Overview ?

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 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.

Objectives

At the end of this seminar participants will have:

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
A practical approach to developing an action plan to utilise these technologies in their own areas of responsibility, fitting them into the overall maintenance strategy, and measuring benefits

Training Methodology

The seminar will be conducted along workshop principles with formal lectures, case studies and interactive worked examples. Relevant case studies will be provided to illustrate the application of each tool in an operations environment. Each learning point will be re-enforced with practical exercises. There will be ample opportunities for discussion and sharing experiences.

Organizational Impact

Analysis of machine failures and predictive maintenance of rotating plant is vital to the budgetary success of the operations organisation. On completion of this seminar the delegate will be able to critically analyse the methodologies employed within the organisation and instigate improvements where required.

Personal Impact

Technical knowledge is key to effective control and peer respect within any maintenance organisation; when this is achieved personal satisfaction follows. This seminar will give the delegate the required level of technical knowledge and skill to achieve that personal satisfaction.

Who Should Attend?

Supervisors
Team Leader and
Professionals in Maintenance, Engineering and Production

The seminar will also benefit anyone who wishes to update themselves on Predictive Maintenance Technologies and Failure Analysis techniques, as well as those who have to judge the suitability of these technologies for their needs, and learn how to implement them for the benefit of their organisations.

Seminar 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

Avoiding Failures

Trouble shooting techniques
Statistical analysis of machinery failures

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

Day 1

Day 2

Day 3

Day 4

Day 5

Training Methodology

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