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Course Details

MACHINERY FAILURE ANALYSIS, PREDICTIVE MAINTENANCE & PROBLEM SOLVING

Location
Dubai, UAE
Date
From Date: 14-Mar-2021   
To Date: 18-Mar-2021
Duration
5 Days
Language
English
Discipline
Introduction

Ref No:         REFRM021
Title:             Machinery Failure Analysis, Predictive Maintenance & Problem solving
Start Date:    14 March 2021  End Date: 18 March 2021  
Venue:          Dubai, UAE
Fee:               $4,500

Training will be held at any of the 5 star hotels. The exact venue will be informed once finalized.

 

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 present 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

Participants will learn how to collect, analyze and interpret failure statistics and will also gain an understanding of FMECA.

Participants will be instructed in condition monitoring methods and will be taught how vibration analysis can be used to detect, locate, severity assess and diagnose a range of common faults in machines.

Upon the successful completion of this course the participant shall be able to:

  • Understand the principles of failure analysis in process plant
  • An understanding of Machine Failure Analysis and Troubleshooting techniques
  • Learn 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
  • 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

DAILY COURSE OUTLINE

DAY 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

DAY 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

DAY 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

DAY 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
     

DAY 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
  • The machine life cycle
  • Standards Organizations
  • List of BS/ ISO condition monitoring standard
  • BS ISO 17359
  • Computer application in machine condition monitoring

Note:
Pre & Post Tests will be conducted
Case Studies, Group Exercises, Group Discussions, Last Day Review & Assessments will be carried out.

Certificate

Define Management Consultancy & Training Certificate of course completion will be issued to all attendees.

Methodology

A highly interactive combination of lectures and discussion sessions will be managed to maximize the amount and quality of information and knowledge transfer. The sessions will start by raising the most relevant questions, and motivate everybody find the right answers. The delegates will also be encouraged to raise their own questions and to share in the development of the right answers using their own analysis and experiences.

  • 30% Lectures
  • 30% Workshops and work presentation
  • 20% Group Work& Practical Exercises
  • 20% Videos& General Discussions
Fees
4,500 US$ per participant for Public Training includes Materials/Handouts, tea/coffee breaks, refreshments & Buffet Lunch

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