Reliability Engineering Training
|Commitment||3-4 days, 7-8 hours a day.|
|How To Pass||Pass all graded assignments to complete the course.|
|User Ratings||Average User Rating 4.8 See what learners said|
|Delivery Options||Instructor-Led Onsite, Online, and Classroom Live|
Reliability Engineering Training Course – Hands-on
Reliability Engineering Training Course – Customize it
- We can adapt this training course to your group’s background and work requirements at little to no added cost.
- If you are familiar with some aspects of this training course, we can omit or shorten their discussion.
- We can adjust the emphasis placed on the various topics or build the training around the mix of technologies of interest to you (including technologies other than those included in this outline).
- If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the training course in manner understandable to lay audiences.
Reliability Engineering Training Course – Audience/Target Group
The target audience for this training course:
Reliability Engineering Training Course – Objectives:
Upon completing this training course, learners will be able to meet these objectives:
- New tools in reliability engineering principles
- How operations can improve reliability of their processes
- How to influence improvements in availability
- How someone can assist in reducing process failures
- How someone can calculate the cost of unreliability for making business decisions to attack problems of unreliability.
- Find out reliability tools helpful for providing supporting evidence during root cause analysis failure investigations
- Find reliability tools and techniques helpful for understanding failure data
- How to make business decisions, based on the failure data
- Justify making equipment more reliable
Reliability Engineering Training – Course Content
Reliability Engineering Overview
◾Business aspects of reliability engineering principles
◾Improvements in processes, procedures, people
◾Ways to reduce the cost of unreliability
◾How to predict future failures as a selling point for improvement projects
◾New modeling techniques for predicting equipment reliability based
◾Life cycle cost decisions in justifying new equipment and new processes
◾What is reliability engineering?
◾Reliability Data Problems and Deficiencies
◾Why do I need to do reliability prediction?
◾What are the uses of reliability prediction?
◾Computer demonstration of probability plots
◾Demonstration Project Introduced
◾What are Reliability Predictions and MTBF?
◾What are MIL-HDBK-217 and Bellcore/Telcordia?
◾What is a Reliability Block Diagram or RBD?
◾What is a design FMEA?
◾What is a process FMEA?
◾What is a FMECA?
◾What is Maintainability analysis?
◾What is Life Cycle Cost analysis?
◾What is a Reliability Prediction?
◾Predictions from Test or Field Data Analysis
◾Prediction Using the New System Reliability Assessment Method
◾Similar Item Prediction
◾Predicted to Operational Translation
◾Empirical Model Prediction Techniques
◾Software and System Reliability Prediction
◾Component Reliability Prediction
Software and System Reliability
◾Reliability Growth Monitoring
◾Computer demonstration of Crow
◾Major Influence Factors on Device Reliability
◾Software Reliability Prediction
◾New System Reliability Assessment Modeling Approach
◾Reliability Prediction Methodologies
◾Predictions From Test or Field Data Analysis
◾Use of Existing Reliability Data
◾Demonstration Project Commitment
◾Computer demonstration of Monte Carlo models
◾Management Systems for Reliability
◾Mechanical Components and Systems Reliability
◾Electronic System Reliability
◾Demonstration Project Preliminary Commitment
◾Failure Modes Effects and Criticality Analysis (FMECA)
◾Reliability Block Diagram (RBD)
◾MIL-HDBK-217 Reliability Concepts
◾ASIC Reliability Concepts
Applying Telcordia TR-332
◾MIL-HDBK-217 Reliability Concepts
◾Part Types and Descriptions
◾IC Part Types
Practical Scenarios and Method Data
◾Lab Text Data
◾Lab Test Time
◾Lab Test Temp
◾No of Failures in Lab Test
◾No of Lab Test
◾Lab Test Burn-In Time
◾Lab Test Burn-In Temp
◾Filed Operational Time
◾Field Temperature Time
◾No Of Failures in the Filed
◾Tracked Failure Rate (fpmh)