Nuclear Power Plant Electronic System Reliability Study

Management of aging electronic systems is a problem faced by many industries. Management of these systems requires some understanding of their reliability performance. In the United States commercial nuclear industry several approaches are being taken in an attempt to understand the reliability performance of plant systems. This article describes one approach being used. The method is non- parametric and requires no specialized data analysis software.

Nuclear Power Plant Electronic System Reliability Study

by Andrew Rowland, CRE – a contributed paper.

Andrew is back with a paper describing using non-parametric approach to maintenance data. While not mentioning MTBF (which is good) the paper does provide alternatives to using a overly simply (i.e. MTBF) analysis of maintenance data.

A well written case study and analysis will provide you inspiration to try it yourself.

Enjoy the paper and please add your comments and questions for Andrew and I to address. I expect to follow up with a short tutorial on Mean Cumulative Function analysis, yet that will have to wait till after a two week vacation to Italy Diane (spouse) and I are about to start. Enjoy your summer and this excellent paper by Andrew. – Fred


Author: Fred Schenkelberg

I am an experienced reliability engineering and management consultant with my firm FMS Reliability. My passion is working with teams to create cost-effective reliability programs that solve problems, create durable and reliable products, increase customer satisfaction, and reduce warranty costs.

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