Weibull-Log Normal Analysis 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. 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. Participants will be fully capable of performing basic and advanced RMS Engineering analysis with their own software on completion of the workshop.

Participants 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!

***Participants must bring laptop for this course.***

What Will You Learn

By attending this course, 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

Is This Course For You

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.

Materials Provided

This data is not available at this time

Course Requirements

This data is not available at this time

Topics

This data is not available at this time