Electronic Component and System Reliability Analysis

This two-day course provides industrial workers with the definitions, models and statistical tools needed for analyzing and projecting failure rates for non-repairable components and repair rates for repairable systems. Major areas covered include life test data analysis and acceleration modeling as well as reliability improvement testing and “Duane” plotting. Students with laptops will be able to practice analyzing reliability data using EXCEL templates and a statistical program package called SEMSTAT.

Next Available Course Dates:

October 13-14, 2008 ~ Dallas, TX

Register now for the next session!

We offer this and all courses as On Site Training

WHAT THE COURSE COVERS:

  • Learn the definitions and life distribution models used for the statistical analysis of component reliability
  • Practice plotting and analyzing high stress censored life test data and fitting acceleration models to project use condition failure rates
  • Understand how to calculate a repairable system Mean Time Between Failure (MTBF) with confidence bounds and acceptance test criteria
  • Learn how to make a Duane plot from reliability improvement test data and project the MTBF at the end of test
  • Become familiar with the reliability analysis routines in SEMSTAT and the use of EXCEL lognormal and Weibull templates for data analysis
  • Basic reliability concepts, terminology and the “bath-tub” curve
  • Censored data and probability data plotting
  • Exponential life distribution model - properties and uses
  • Weibull life distribution model - properties and uses
  • Lognormal life distribution model - properties and uses
  • Life testing and physical acceleration models
  • Fitting reliability models
  • Repairable system models and testing systems for Mean Time Between Failure (MTBF) requirements
  • Testing for improvement or degradation trends
  • Duane plots and the reliability improvement slope


WHO SHOULD ATTEND?

  • This course is targeted towards engineers and managers who can benefit from using effective statistical methods to model, evaluate, monitor and improve the reliability of electronic components and systems.

This course includes a course manual with color illustrations.
*Please note* Each student must bring a laptop to use during this presentation!!

INSTRUCTOR:

Dr. Paul Tobias currently offers consulting and training services for industrial clients. He retired from International SEMATECH, a semiconductor manufacturing research consortium, after managing the Statistical Methods Group for 9 years.

After receiving his PhD. in Mathematical Statistics from Columbia University, he spent 25 years as a statistician and manager at IBM’s semiconductor facility in East Fishkill, New York. During those years his primary focus was on modeling and projecting field reliability for new integrated circuit technologies and setting up field return and failure analysis monitoring systems.

Dr. Tobias has published over 40 technical reports and journal articles and he is the co-author of the textbook "Applied Reliability", now in its 2nd edition. He was the co-editor for the creation of the on-line NIST/SEMATECH e-Handbook of Statistical Methods. In addition, he has chaired several International Semiconductor Standards Task Forces that added statistical methodology to the E10 Equipment Reliability Standard and created a new Standard for Measurement Capability Analysis, E89. He currently holds the position of Technical Editor for the Semiconductor Equipment and Materials International Organization (SEMI ) Metrics Committee and he is the Treasurer for the annual American Statistical Association Quality and Productivity Research Conference.


"We Exceed Your Expectations!"

Return to Home Page
Return to Course Schedule