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Charles Recchia
Charles H Recchia, MBA, PhD has more than twenty-five years of product development, technical team management, and fundamental research experience with a special focus on reliability statistics of complex systems. He earned his doctorate in Solid-State Physics from The Ohio State University, and a Master of Business Administration degree from Babson College. Dr. Recchia acquired in-depth reliability engineering expertise at Intel Portland Technology Development, MKS Instruments, Raytheon Integrated Defense Systems and Saint-Gobain Innovative Materials R&D, has served as visiting professor of physics at Wittenberg University and Worcester Polytechnic Institute, is author of numerous peer-reviewed technical papers and patents across multiple fields and has served on committees for SELSE Workshop, ASTR 2015, and IRPS Conferences. A Senior Member of IEEE, Charles currently works at M/A-COM Technology Solutions and serves as the Chair for the Joint Boston/NH/RI Chapter of the IEEE Reliability Society.
Bayesian Methods in Reliability Engineering
Charles Recchia
Charles H Recchia, MBA, PhD has more than twenty-five years of product development, technical team management, and fundamental research experience with a special focus on reliability statistics of complex systems. He earned his doctorate in Solid-State Physics from The Ohio State University, and a Master of Business Administration degree from Babson College. Dr. Recchia acquired in-depth reliabili...read more
Details
With product reliability demonstration test planning and execution weighing heavily on cost, availability and schedule factors, Bayesian methods offer an intelligent way of incorporating engineering knowledge based on historical information into data analysis and interpretation, resulting in an overall more precise and less resource intensive failure rate estimation. This talk consists of three parts
1. Introduction to Bayesian vs Frequentist statistical approaches
2. Bayesian formalism for reliability estimation
3. Product/component case studies and examples
The spreadsheet mentioned in the talk is here, bayes example rev 4.xlsx
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