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Weibull-Log Normal Analysis Workshop
March 14-16, 2005
Workshop Schedule
March 14, 2005
7:30am Registration
8:00am-4:00pm Workshop
March 15, 2005
8:00am-4:30pm Workshop
March 16, 2005
8:00am-4:00pm Workshop
RMS (Reliability-Maintainability-Safety-Supportability)
engineering is emerging as the newest discipline in product
development due to new credible, accurate, quantitative methods.
Weibull Analysis is foremost among these new tools. New and
advanced Weibull techniques are a significant improvement
over the original Weibull approach. They yield useful results
even with extremely small samples and with data that has
deficiencies. Special methods developed for these data problems,
such as Weibayes, are presented with actual case studies.
Inspection data will be treated with both interval and probit
analysis. The latest techniques in WinSMITHTM Weibull for
risk forecasts with renewal and optimal component replacement
will be illustrated with case studies. Students are fully
qualified to conduct Weibull Analysis at workshop completion.
Benefits of Attending
By attending this workshop, you will be able to use Weibull's
unique capabilities to:
- Analyze design, development, production,
and service failures
- Model product lifetime and reliability
- Evaluate calibration & maintainability
plans
- Analyze inspection data
- Reduce test substantiation,
time and costs
Who Should Attend
Engineers responsible for reliability, safety, supportability,
maintainability, materials, warranties, life cycle cost,
design, structures, instrumentation and logistics will find
these Weibull techniques extremely useful.
Prerequisites
An engineering undergraduate degree in any discipline would
be beneficial.
Text & Software Included
Each attendee will receive the entire SuperSMITHTM package,
a $960 value. SuperSMITH contains: the
New Weibull Handbook,
written by Dr. Robert B. Abernethy, along with classwork,
answers, and references; the latest version of WinSMITHTMWeibull
and WinSMITHTMVisual software which
is used in the workshop; and the Play-Time Tutorial Software
Workbook. This state-of-the art, WindowsTM software
includes Normal & Log
Normal Analysis and allows the student much more time for
actual hands-on PC experience, interpreting data of all types.
There are many new features. This software is very "user
friendly" and provides: automatic iteration of to, cross-plotting
of up to ten data sets, MLE and rank regression solutions,
labels, test substantiation design, plot expansion and shrinkage,
inspection data analysis, confidence bounds with censored
data, reliability prediction with confidence level, optimal
component replacement intervals, future failure predictions
with & without renewals, distribution analysis, etc.
The students will exercise all the software systems to gain
experience with all types of problems using a computer tutorial.
They will also analyze data generated from class fatigue
experiments and data they bring to class from their home
organization.
Weibull Experiments
The students will rupture wire samples in low cycle fatigue
and analyze the data using WinSMITHTMWeibull software.
Duane-AMSAA
Reliability growth modeling (Duane-AMSAA) is also presented
on the third day. It is useful for three purposes: (l)
tracking repairable systems, (2) tracking component development,
and (3) analyzing systems where the early portion of the
data is missing. An example of the last is electrical power
cables buried decades ago by utilities that did not keep
failure data in the early years. It is a good technique
for analyzing some forms of "dirty" data. The
newest application, renewal/repairable system analysis,
has some advantages and disadvantages over Monte Carlo
methods. WinSmithTMVisual performs the Duane-AMSAA calculations
and provides plots of the results.
Workshop Content
The Weibull, the Poisson, Log Normal, Exponential and Binomial,
the distributions that form the basis for RMS Engineering,
are covered. The third day is devoted to confidence intervals,
RMS models, and reliability growth analysis. Class work is
used to reinforce key concepts. Lectures are based on actual
case studies. The students use personal computers on the
second and third day to analyze dozens of Weibull and Log
Normal problems. The students will be fully capable of performing
basic and advanced RMS Engineering analysis with their own
software on completion of the workshop.
DAY 1 - Undergraduate Weibull Analysis
March 14, 2005
7:30am Registration
8:00am-4:30pm workshop
- Background, Development & Introduction - 23-Minute
Video Short Course
- How to do Weibull Analysis
- Interpretation of Good Weibulls
- 2 & 3 Parameter
- Are two Weibull datasets significantly
different?
- Interpretation of Bad Weibulls - Cusps,
Dog Legs, Curves, To, Log Normal
- Failure Predictions
and Weibull Risk Analysis: How Many Failures Will There
be in the Next year, Five
Years? With
and Without Parts Replacement?
- Case Studies, Customer
Usage, Maintenance Planning, Goodness of Fit with the
New Critical Correlation
Coefficients, Failure Forecasting
- Weibull Experiments,
Wire Rupture, Torsion, LCF, Accelerated Testing, Classwork
Problems and Solutions
DAY 2 - Postgraduate Weibull Analysis
March 15, 2005
8:00am-4:30pm
- Maximum Likelihood Weibull Theory and Application
- WeiBayes Analysis. When Weibulls are Impossible or Deficient
Substantiation Tests. Have We Fixed the Problem? Zero-Failures
Testing, Sudden Death Tests
- Dauser Shift, Suspension
Times are Unknown, Warranty Analysis
- Rank Regression
vs. Maximum Likelihood, When Should I Use RR vs. MLE, Advantages & Disadvantages?
- Extremely Small Samples Analysis, What are the Risks
and Biases?
- Log Normal Analysis, both Interval and Probit
Methods
- Suspension and Sample Size Effects on Uncertainty
- Predicting Future Failures with and without Renewals
- One Failure Weibull Case Study
- An Introduction to
WinSMITHTM Software, Features, Input, Analysis, Output
- Summary of Weibull Methods
- Class Work Problems
- Experimental Wire Data Distribution
Analysis
- Optimal Replacement Intervals, Block Replacement
- "Playtime
With SuperSMITHTM" Tutorial, Hands-On
Computer Experience with All Kinds of Problems, Students
May Bring Their Own Data for Analysis on PC Computers
- Review and Discussion of Class
Work and Playtime Exercises
DAY 3 - Confidence Intervals and System Models
March 16, 2005
8:00am-3:00pm
- Confidence Intervals, "The Good, the Bad and the
Complicated"
- Comparing Designs
- The Binomial & Poisson, Discrete
Distributions Related to the Weibull and Useful for RMS & Quality
Control Engineering, Case Studies, Nomograms, the Thorndike
Chart
- Duane-AMSAA Reliability Growth Modeling - New Useful
Technology for Tracking Development Testing
- The Exponential
Related to the Poisson and the Weibull, Assumptions and
Applications
- Kaplan-Meier Survival Analysis (Now Included
in WinSMITHTM Weibull)
- Duane-AMSAA Employed for Analyzing
Renewal-Repairable Systems
- System Models
- Classwork
- Complete "Playtime With SuperSMITHTM"
- "PhD Oral Examination"
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