Location

Date

Duration

Language

Discipline

Introduction

The course presents understanding of equipment failure characteristics. To achieve an optimal maintenance program that meets specified safety, environmental, and economic goals. Participants will learn to preserve equipment functions by identifying appropriate predictive maintenance (PdM) tasks, failure finding tasks and other actions that protect against failure or mitigate the consequences of failure

This course presents a systematic approach to fault diagnosis and failure prevention in a broad range of machinery used in many industries. The key routes to preventive maintenance are demonstrated through both overview and the study of examples in different failure analysis and a sequential approach to machinery trouble-shooting and problem solving

Failure analysis, Troubleshooting and Predictive & Planned Maintenance techniques, including vibration analysis, oil analysis, and others techniques are discussed in the course with a view to optimising the maintenance engineering effort while maximising production

This course provides the fundamentals of PdM and condition monitoring applicable to plants, facilities and manufacturing lines. Predictive Maintenance & Condition Monitoring will provide Participants with a framework to make the right decisions on what equipment needs condition monitoring, what technologies to use to meet their needs and how to measure the effectiveness of their decisions

Objective

Upon successful completion of this course, the delegates will be able to:

• Explain the principles of failure analysis in process plant
• Recognize Machine Failure Analysis and Troubleshooting techniques
• Discuss about machinery troubleshooting in pumps, centrifugal compressors, , gas turbines and  electric motors
• Describe the Benefits of a PdM & Condition Monitoring Program
• Identify What Equipment to Monitor
• Predict What Maintenance Needs to be done and When
• An understanding of a range of Planned & Predictive Maintenance Technologies
• Knowledge of the potential contribution of each these technologies to maintenance efficiency
• Explain the Guidelines indicating how these technologies can interact with and support each other

Audience

This seminar is directed towards Supervisors, Team Leaders and Managers 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 organizations

Content

Module 1

Failure Analysis techniques

Equipment failure

Six patterns of component failure rate over life

Controlling introduced failure

Failure rate bathtub curve

Where to start: equipment criticality or risk

Failure analysis tools

Failure Mode & Effects Analysis

Reliability Centered Maintenance

Computer Maintenance Management Systems

Failure analysis - closing the loop

Root cause failure analysis (rcfa

Building a system for equipment condition indicating

• Equipment data
• Failure data
• Maintenance data
• Data format

Module 2

Failure and maintenance notations

Failure descriptors

Failure causes

Method of detection

Maintenance activity

Data requirements for various applications

Electrical motor

Gas turbines

Pumps

Compressors

Module 3

The Basic Concept of Predictive Maintenance

The Top 6 Benefits of Predictive Maintenance

Establishing a Predictive Maintenance Program

Goals, objectives, and benefits

Functional requirements

Selling predictive maintenance programs

Selecting a predictive maintenance

System

Database development

Getting started

The optimum predictive maintenance Program

How to Choose the Right PdM Technologies

Four Reasons Why PdM Doesn’t Work

Are You Collecting the Right Data?

World-Class Maintenance

Module 4

Predictive Maintenance – PdM

Scheduled predictive

Predictive Technologies

Condition Monitoring Technologies

Vibration Analysis

General Analysis Method

IR Thermography

Ultrasonic Leak Detection

Oil and Wear Particle Analysis

Oil Analysis

Motor Circuit

Surface Flaw Detection

Liquid Penetration

Magnetic Particle

Sub-Surface Flaw Detection

Ultrasonic Thickness (Auto/Manual)

Eddy Current

Radiography

Endscope (Borescope) inspection

Module 5

Vibration analysis

Introduction

Data acquisition

Data interpretation

Vibration due to plane (journal) bearings

Vibration due to resonance

Turbomachinery problems

Vibration problems with specific machinery types

Gearbox vibration

Condition Monitoring

Condition Monitoring

The machine life cycle

Standards Organizations

List of BS/ ISO condition monitoring standard

BS ISO 17359

Computer application in machine condition monitoring

Certificate

TRAINIT ACADEMY will award an internationally recognized certificate(s) for each delegate on completion of training.

Methodology

The training course will be highly participatory and the course leader will present, guide and facilitate learning, using a range of methods including formal presentation, discussions, sector-specific case studies and exercises.  Above all, the course leader will make extensive use of real-life case examples in which he has been personally involved. You will also be encouraged to raise your own questions and to share in the development of the right answers using your own analysis and experiences.  Tests of multiple-choice type will be made available on daily basis to examine the effectiveness of delivering the course.

• 30% Lectures
• 30% Workshops and work presentation
• 20% Case studies & Practical Exercises
• 10% Role Play
• 10% Videos, Software or Simulators (as applicable) & General Discussions

Fees

$6,150