The Leading eBooks Store Online

for Kindle Fire, Apple, Android, Nook, Kobo, PC, Mac, BlackBerry ...

New to eBooks.com?

Learn more

Reliability Prediction from Burn-In Data Fit to Reliability Models

Reliability Prediction from Burn-In Data Fit to Reliability Models by Joseph Bernstein
Add to cart
US$ 59.95
This work will educate chip and system designers on a method for accurately predicting circuit and system reliability in order to estimate failures that will occur in the field as a function of operating conditions at the chip level. This book will combine the knowledge taught in many reliability publications and illustrate how to use the knowledge presented by the semiconductor manufacturing companies in combination with the HTOL end-of-life testing that is currently performed by the chip suppliers as part of their standard qualification procedure and make accurate reliability predictions. This book will allow chip designers to predict FIT and DPPM values as a function of operating conditions and chip temperature so that users ultimately will have control of reliability in their design so the reliability and performance will be considered concurrently with their design.

•         The ability to include reliability calculations and test results in their product design
•         The ability to use reliability data provided to them by their suppliers to make meaningful reliability predictions
•         Have accurate failure rate calculations for calculating warrantee period replacement costs.
Elsevier Science; March 2014
108 pages; ISBN 9780128008195
Read online, or download in secure EPUB or secure PDF format
Title: Reliability Prediction from Burn-In Data Fit to Reliability Models
Author: Joseph Bernstein
 
Buy, download and read Reliability Prediction from Burn-In Data Fit to Reliability Models (eBook) by Joseph Bernstein today!