The immensely popular G400 course sets the foundation for all subsequent seminars by introducing and familiarising the attendee to the fundamental concepts in reliability engineering mathematics, from basic data analysis and modeling to advanced methods and concepts. It begins with an in-depth discussion of the fundamentals of Weibull and Life Data Analysis and continues by expanding the learned concepts to more advanced subjects.
G400 presents concepts and software that will help you to:
- Understand how life data analysis methodologies can be applied when you need to understand and communicate how a product will perform over time, such as:
- Setting meaningful reliability targets, demonstrating whether an item meets the specification and/or effectively communicating performance estimates to management.
- Identifying whether an item will experience infant mortality and/or wearout and making predictions about performance during the useful life (or warranty) period.
- Evaluating suppliers and/or comparing designs based on reliability.
- Become familiar with the applications of other essential reliability data analysis methods, such as ALT, RBDs, RGA and DOE.
Introduction to reliability engineering principles and methods
- Overview of reliability engineering theory and related mathematics, metrics and applications
Fundamentals of life data analysis and applications
- Review of relevant statistical concepts
- Reliability data types and censoring schemes
- Reliability metrics and their interpretation
- In-depth look at the Weibull distribution
- Other lifetime distributions
- Parameter estimation methods
- Confidence bounds
- Mixed Weibull distribution
- Competing failure modes analysis
- Degradation data analysis
- Warranty data analysis
- Model and data set comparisons
- Reliability test design
- Reliability demonstration
- Stress-strength analysis
- Case studies and hands-on practice using Weibull++
Advanced life data modeling and applications
- Combining life-stress relationships with lifetime distributions
- Quantitative accelerated life testing (ALT) data analysis with life-stress models for one or multiple stresses
- Introduction to Design of Experiments (DOE) with a reliability engineering focus
System analysis, modeling and applications
- Reliability block diagram (RBD) analysis and fault tree analysis
- System reliability equation and metrics
- Importance analysis and reliability allocation methods Determining optimum maintenance intervals
- Reliability, availability and maintainability analysis for complex repairable systems
Statistical models for repairable systems and applications
- General renewal process and recurrent event data analysis
- Fielded system analysis and modeling
The immensely popular G400 seminar is composed of the three-day Weibull and Life Data Analysis seminar (G400A) followed by a two-day introduction to key principles in accelerated life testing (ALT), design of experiments (DOE), reliability block diagrams (RBDs) and repairable systems modelling. The three-day G400A provides a comprehensive treatment of the subject of life data analysis (including Weibull analysis) as it applies to reliability engineering. Training includes an overview of the underlying statistical theory and methods as well as hands-on practice with the Weibull++ software.
Duration: 5 Days
COMPUTERS ARE USED IN THIS COURSE SO PLEASE MAKE SURE TO BRING YOUR LAPTOP. WE WILL INSTALL THE APPROPRIATE SOFTWARE AS NEEDED.
Standard Registration Terms & Conditions for Events Organised by ReliaSoft Apply
- If purchasing for more than one person, specify the number of people attending the course by altering the quantity of the course in the shopping cart. Our staff will contact you shortly after placing the order to confirm the details of each person as well as dietary requirements.
- More details of the course will be provided separately well before the commencement of the course.
- Please direct any further queries to firstname.lastname@example.org.