ENGINEERING TOOLS AND METHODS
Topical Outline DAY ONE Undergraduate Weibull Analysis • 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 • Risk and Failure Forecasting Case Studies • Weibull Experiments (Wire Rupture, Torsion, LCF, Accelerated Testing), Classwork Problems and Solutions • Log Normal Analysis • Optimal Replacement Intervals, Block Replacement DAY TWO Postgraduate Weibull Analysis • Maximum Likelihood Weibull Theory and Application • WeiBayes Analysis • Dauser Shift, Warranty Analysis • Rank Regression vs. Maximum Likelihood • Extremely Small Samples Analysis • One Failure Weibull Case Study • An Introduction to SuperSMITH® Software, Features, Input, Analysis, Output • Summary of Weibull Methods • Class Work Problems • Experimental Wire Data Distribution Analysis • Playtime With SuperSMITH® Tutorial
Weibull-Log Normal Analysis Workshop 3 Days | Classroom Seminar I.D.# 86034 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. This workshop, originally developed by Dr. Bob Abernethy, presents special methods developed for these data problems, such as Weibayes, with actual case studies in addition to the latest techniques in SuperSMITH® Weibull for risk forecasts with renewal and optimal component replacement. Class work is used to reinforce key concepts, lectures are based on actual case studies, and personal computers and hands-on experiments are used to analyze dozens of Weibull & Log Normal problems. Students will be fully capable of performing basic and advanced RMS Engineering analysis with their own software on completion of the workshop. Attendees will receive the entire SuperSMITH® package - a complete self-study course and combined software package containing: SuperSMITH® Weibull, SuperSMITH® Visual, The New Weibull Handbook® - 5th Edition and the PlayTIMETM Tutorial Booklet. A $960 value! To accelerate your learning, you may want to complete the SAE On Demand Course, PD530946ON - Introduction to Weibull Solution Methods, prior to the Workshop. Your registration will give you online access to this highly recommended, 75-minute overview of Weibull Analysis approximately 10 days in advance of the course start date, access ending the last day of class. Learning Objectives By attending this seminar, you will be able to: • Analyze design, development, production, and service failures • Model product lifetime and reliability • Evaluate calibration and maintainability plans • Analyze inspection data • Reduce test substantiation, time and costs Who Should Attend An engineering undergraduate degree in any discipline would be beneficial. Engineers responsible for reliability, safety, supportability, maintainability, materials, warranties, life cycle cost, design, structures, instrumentation and logistics will find these Weibull techniques extremely useful. ***Attendee must bring laptop for this course.*** Bonus Introductory Course Included
DAY THREE Confidence Intervals and System Models • Confidence Intervals, “The Good, The Bad and The Complicated” • Comparing Designs • The Binomial & Poisson
• Crow-AMSAA Reliability Growth Modeling - Useful Technology for Tracking Development Testing and Any Significant Event to be Managed • The Exponential Related to the Poisson and the Weibull • Kaplan-Meier Survival Analysis • Crow-AMSAA Employed for Analyzing Renewal- Repairable Systems • System Models • Classwork • Complete Playtime With SuperSMITH® • Ph.D. Oral Examination
Instructor: Fee: $2275
James Fulton; Carl Tarum
2 CEUs
URL:
sae.org/learn/content/86034/
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3 ways to get a no-obligation price quote to deliver a course to your company: Call SAE Corporate Learning at +1.724.772.8529 | Fill out the online quote request at sae.org/corplearning | Email us at Corplearn@sae.org
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