Title :
Electronic system reliability: collating prediction models
Author :
Goel, Anuj ; Graves, Robert J.
Author_Institution :
Dept. of Decision Sci. & Eng. Syst., Rensselaer Polytech. Inst., Troy, NY
fDate :
6/1/2006 12:00:00 AM
Abstract :
This paper summarizes research done in the area of electronic system reliability and assesses the approaches used in the calculation of electronic system failure rates. A detailed literature survey is conducted to investigate the various available reliability prediction models. The paper starts with a definition of reliability, briefly discusses various regions of system failure rate in time, justifies the role of reliability prediction methods, provides a historical overview, classifies the traditional models into easy to understand categories and discusses the advantages and disadvantage, reviews the key models that are currently in use, and compares the first and most widely used model (i.e., MIL-HDBK-217) with the most recently introduced model (i.e., PRISM)
Keywords :
failure analysis; semiconductor device reliability; MIL-HDBK-217; electronic component reliability; electronic system failure rates; electronic system reliability; physics-of-failure; reliability prediction models; Consumer electronics; Electronic equipment; Laboratories; Prediction methods; Predictive models; Probability; Production; Reliability engineering; Reliability theory; Systems engineering and theory; Electronic component reliability; MIL-HDBK-217; empirical-based models; failure rate; physics-of-failure; prediction models;
Journal_Title :
Device and Materials Reliability, IEEE Transactions on
DOI :
10.1109/TDMR.2006.876570