Reliability Based Testing, Principles and Methodologies

The course helps participants: 

  • Understand the array of methodologies that can be applied for repairable systems analysis and determine the approaches that are most effective and appropriate to the statistical analysis
  • Identify critical components and associated failure modes to determine the most effective ways to improve system performance through design improvements 
  • Understand accelerated life testing techniques which are critical in helping organizations to achieve time-to-market goals

Who Should Attend?

Reliability managers, reliability engineers, quality engineers, system design engineers, testing engineers


  • Reliability Models
    • The Reliability Function
    • Mean Time to Failure
    • Hazard Rate function
    • Bathtub Curve
    • Conditional Reliability
    • The exponential Reliability Function
    • Normal Distribution
    • Lognormal Distribution
    • Weibull Distribution
    • Design for Reliability
  • Reliability Testing
    • Introduction
    • Types of data analysis
    • Techniques for Accelerated Life testing
    • Stress based Testing
    • Types of Time varying Stresses
    • Developing Accelerated Life Test Plans
    • Examples of applications


Dr. Julio Pulido

Julio Pulido is a Sr. Director of Quality Assurance, Reliability Engineering, and Analytics at Nortek. His responsibility is to drive the capability development of Design for Reliability for consulting clients. He holds a BS from the Federal University of Bahia, Brazil, an MS from the Federal University of Rio Grande do Sul, Brazil, a Ph.D. from the Federal University of Rio de Janeiro, Brazil, Ph.D. Research at Duke University and an MBA from Xavier University and a Certificate in Information Technology Management from the University of Chicago. His specialty is in the area of Structural Analysis, Design for vibration and Structural Reliability, and Accelerated Testing Techniques. Dr. Pulido has 19+ years of experience in leading Design Assurance Organizations. He has published over 60 peer-reviewed journals and conference papers.


February 23, 2022
1:30 - 4:30 p.m. Central Time
Early-bird registration ends January 21. Use coupon code 2EBREL22 to save 10%.
Online registration closes February 18. Contact IEST after this date to see if there is additional space.

Registration Information

Regular Rate
Through Feb. 18
Late Rate
After Feb. 18 if space allows
Member: $225
Non-member: $285
Member: $275
Non-member: $335


  • Transfers: All registrations are transferable to another person for the same event A $35 transfer fee applies. Transfer of a member registration to a nonmember registration will be charged the difference in fees.
  • Cancellations: Cancellation requests received 60 days or more prior to the start of the event will receive a full refund LESS a $75 administration fee. Cancellation requests received 30-59 days prior to the start of the event will receive a 50% refund. No refunds will be issued for cancellation requests received less than 30 days prior to the start of the event. IEST reserves the right to cancel course(s), in which case registrants will receive a refund of the fee. IEST is not responsible for any refund or remuneration for hotel, transportation, additional registration fees, tours, or other expenses related to attendance beyond the registration fee refund.
  • IEST reserves the right to cancel courses, in which case registrants will receive a full refund of the tuition fee.
  • Program and instructor(s) are subject to change.
  • .3 CEUs per class.
  • Payment must accompany registration; there is no invoicing. IEST does not accept purchase orders as a method of payment.
  • All member dues must be current at the time of registration to qualify for the member rates.
  • All education training courses earn Continuing Education Units.