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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