Event Details
Visualization of Field Experience vs Testing Data
Speaker Biography
Alexander (Alex) J. Porter is the Senior Chief Engineer for Programs, Performance and Durability for Intertek. He has been with the company since 1992. Since 1996, he has been developing accelerated testing methods for mechanical components and systems.
Alex has three patents related to accelerated testing equipment and has authored over 40 articles and technical papers on accelerated testing.
Alex is the author of the book Accelerated Testing and Validation, Elsevier 2004. He is a member of SAE and teaches a class for SAE based on the book.
Alex holds a B.S. in Aircraft Engineering and an M.S. in Mechanical Engineering. He is a Professional Engineer in the State of Michigan.
Abstract
The mobility industry needs to accurately relate real product reliability and durability to test data. The real life of a product exists in a domain of time, stress (sources of damage) and probability. But information about real-life failures and time to failure is available only in highly censored data sets. Testing usually focuses on stress, probability and one or two aspects of time. Many different methods are used. Reliability is measured or demonstrated, failure mechanisms are quantified and the physics of failure is investigated. This presentation explores a three dimensional graphical relationship between field failure information, worst case service condition life testing, proof load testing, accelerated reliability, and other accelerated stress test methods.
The three dimensional view of time, stress and probability was first proposed in 2002 in an SAE paper 2002-01-1174 titled 'ÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂÃÂLife Estimating Techniques for Failure Mode Identification Testing .' This view has since been used and refined to visualize how differing test methods and proof tests interrelate within the space of time, sources of damage (stress or noise factors) and probability. The value of one test over another and how to leverage one test with another can be seen in the graphical view. How a laboratory statistical reliability relates to actual field warranty, and how a proof load test relates to a life test can be examined.
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