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Reliability Engineering

Introduction to Reliability Statistics

Introduction

This knowledge-building course is Participants who are responsible for establishing policies and processes within the asset management discipline. The course provides knowledge and skills in reliability statistics methods allowing participants to understand and calculate appropriate statistics for specific maintenance scenarios.


Objectives

By the end of this course participants will learn:

  • The important terms and definitions in reliability statistics
  • Fundamental concepts of measuring variability
  • Basic statistics and the purpose of each
  • The characteristics of Normal, Weibull, and Exponential distributions
  • How to apply basic statistics in the maintenance environment
  • How to calculate and utilize MTBF as a reliability predictor
  • How to calculate and predict system reliability
  • How to use statistics for component replacement prior to wear-out failure
  • How to determine conditional failure probability
  • How to apply reliability statistics to improve asset management

Target Audience

Reliability, maintenance, industrial, chemical, process engineers, and anyone who is involved in reliability issues who has at least a basic statistical background to include maintenance managers and maintenance supervisors


Reliability Engineering Outline

The course covers the following topics:

  • Introduction to reliability and variability
  • Measuring variability in reliability
  • Using linear regression to understand variability in reliability
  • Introduction to basic statistics
  • Weibull distribution
  • Exercises using basic statistics
  • Reliability statistics in the maintenance environment
  • Utilize statistics to analyze plant equipment life
  • Using statistics to replace components prior to the wear-out phase
  • Calculating the conditional probability of failures
  • Exercises utilizing failure prediction statistics
  • Statistics for minimal testing

  
  

Ref Location From To Cost
RE05 Kuwait 28-6-2020 2-7-2020