The immensely popular G400 series is composed of Weibull
and Life Data Analysis followed by an introduction to key
principles in accelerated life testing (ALT), design of
experiments (DOE), reliability block diagrams (RBDs) and
repairable systems modeling.
Event Details
Start Date/Time: 23 Nov 2015
End Date/Time: 27 Nov 2015
This training course presents concepts and software tools
that you could use to help your organisation:
• 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 for other
essential reliability analysis methods, including ALT,
DOE, RBDs and repairable systems modeling.
Note that G400A is a truncated version of G400 that
covers only the first three days.
Course Content
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++" distribution
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
• Case studies and hands-on practice using Weibull
distribution, "ALTA" and "DOE"
System analysis, modeling and applications
• Reliability block diagram (RBD) analysis
• Fault tree analysis
• System reliability equation and metrics
• Importance analysis and metrics
• Reliability allocation
• Determining optimum maintenance intervals
• Reliability, availability and maintainability
analysis for complex repairable systems
• Case studies and hands-on practice using BlockSim
Statistical models for repairable systems and
applications
• Recurrent event data analysis
• Fielded system analysis and modeling
• Case studies and hands-on practice using RGA and
Weibull++
Computers
Computers are used on this course so delegates are
encouraged to bring their own laptop. We will install the
appropriate software as needed. Alternatively, we can
make arrangements and have a computer available for you
for a small fee of £160.
Course Fee
£1596
Feedback from Previous Delegates
"This is simply an excellent course!" Alcatel- Lucent
"Excellent - an investment in my time and company's money
that I believe will pay off!" Fianium
"Interesting and well presented, a good mix of theory and
'hands-on' experience..." Delphi Diesel Systems
"Many thanks to the Wilde team for all their efforts in
delivering an informative, educational and well-presented
seminar." GE Oil & Gas
"The G400 course is good for reliability engineer who
want to excel in their career." One Subsea
"An excellent course. A++" Rolls-Royce Aerospace
"Very good seminar, definitely recommended for test &
validation engineers. Professional team with straight
forward training plan." Xaar Ltd
Location
Stockport
To register, or for further information, please visit:
http://wildeanalysis.co.uk/events/2015/foundations-
reliability-engineering-data-analysis-modeling
Alternatively, please contact us on 0161 474 7479 or
email events@wildeanalysis.co.uk
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