Cognicert Reliability Engineering Professional
Overview
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
- 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 https://link.springer.com/book/10.1007/978-3-642-39535-2#about
Other Recommended Textbooks
3. Reliability Engineering Handbook, Volume 1 by Dimitri B. Kececioglu, Ph.D.,
Purchase here https://www.destechpub.com/product/reliability-engineering-handbook-volume-1/
-
Reliability, Maintainability and Risk. Practical methods for engineers Eighth Edition by Dr David J Smith
Purchase here https://www.amazon.com/Reliability-Maintainability-Risk-Maintenance-Safety-Related/dp/008096902X
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)
| EXAM | APPLICATION DEADLINE |
| 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.