Cognicert Reliability Engineering Professional


This course is designed to provide an introduction to reliability engineering and management, for practising engineers and managers. The emphasis throughout is on practical applications, and the mathematical concepts described are accordingly limited to those necessary for solution of the types of problems covered. Practical approaches to problem-solving, such as the use of probability plotting techniques and computer programs, are stressed throughout. More advanced texts are cited for further reading on the mathematical and statistical aspects.

This course is designed for anyone needing to gain a basic understanding of the science of reliability and how reliability can be used to produce a product that will meet all of the quality objectives considered desirable.  The practice of applying reliability methodology requires the background of an engineer or someone comfortable with mathematical models and testing methods. The “hard core” reliability practitioner will know how to formulate transfer functions and perform regression analysis for systems, subsystems and components.  We don’t delve too deeply into how to do this but we certainly do explain the application of these processes relative to determining “baseline” reliability and how testing and data collection can achieve significant improvements in system reliability.

Course Objective
What you’ll learn
  • What is Reliability and How is it Measured
  • Why Things Fail
  • The Fundamentals of Strength-Stress Analysis
  • The Basics of the Normal and Exponential Distributions
  • Introductions to Life Testing, Accelerated Life Testing (ALT), Highly Accelerated Life Testing (HALT), and Highly Accelerated Stress Screening (HASS)
  • The “Bathtub” or Weibull Curve
  • Reliability Block Diagrams
  • Redundancy, Preventive/Predictive Maintenance, and Derating and Methods for Improving Reliability
  • How Reliability Engineering is a key component in the product design and manufacturing processes
  • Effective Quality control and reliability testing

 Course Content

  Introduction to Reliability Engineering

  • What is Reliability Engineering?
  • Why Teach Reliability Engineering?
  • Why Do Engineering Products Fail?

Reliability Mathematics

  • Variation
  • Continuous Variation
  • Continuous Distribution Functions

Life Data Analysis and Probability Plotting

Life Data Classification

Ranking of Data

Weibull Distribution

Computerized Data Analysis and Probability Plotting

Monte Carlo Simulation

Monte Carlo Simulation Basics

Additional Statistical Distributions

Sampling a Statistical Distribution

Load–Strength Interference

Reliability Prediction and Modelling

Design for Reliability Process

Reliability of Mechanical Components and Systems

Electronic Systems Reliability

Reliability of Electronic Components

Component Types and Failure Mechanisms

Software Reliability

Software in Engineering Systems

Software Errors

Design of Experiments and Analysis of Variance

Reliability Testing

Planning Reliability Testing

Test Environments

Testing for Reliability and Durability: Accelerated Test

Statistical Quality Control and Reliability Tests

Statistical Quality Control

Statistical Reliability (RAMS) Tests

Estimation and Demonstration of an MTTR

Analysing Reliability Data

Accelerated Test Data Analysis

Acceleration Factor

Acceleration Models

Reliability Demonstration and Growth

Reliability Metrics

Test to Success (Success Run Method)

Test to Failure Method

Reliability in Manufacture

Control of Production Variability

Control of Human Variation

Official Recommended Textbooks

  1. Practical Reliability Engineering 5th Edition by Patrick O’Connor (Author), Andre Kleyner (Author) Purchase here

2.      Reliability Engineering; Theory and Practice by Alessandro Birolini
Purchase here
Other Recommended Textbooks
3.      Reliability Engineering Handbook, Volume 1 by Dimitri B. Kececioglu, Ph.D.,
Purchase here
  1. Reliability, Maintainability and Risk. Practical methods for engineers Eighth Edition by Dr David J Smith
Purchase here
Training Methodologies
  • Case Study
  • Individual Exercises
  • Role Play
  • Group Exercises
  • Group Presentation
  • Examination

Duration: 5 Days

Assessment and Qualification
Learning is assessed through:

  • 3 hours open examination. Passing the exams qualifies the candidate for Cognicert Reliability Engineering Professional (CPD Certificate)
  • Practical experience of 25 days with activity log qualifies participants for our Cognicert Reliability Engineering Professional (Implementer Category) I.D Card and Certificate
  • Practical experience of 50 days with activity log qualifies participants for our Cognicert Reliability Engineering Professional (Lead Implementer Category) I.D Card and Certificate

 Self-Study Material, Exam and Certification 

Online Training, Material, Exam and Certification 

Classroom Training Location Here (Fee to be decided by delivery partners)

February 27 January 22, 2022
March 24 February 22, 2022
April 21 March 22, 2022
May 18 April 22, 2022
June 22 May 24, 2022
July 27 June 22, 2022
Aug 24 July 22, 2022
September 21 August 24, 2022
October 19 September 15, 2022
November  23 October 13, 2022
December 18 November 11, 2022

Cancellation: 3 weeks before examination attract 100% refund. 0% refund after.

Register here