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Reliability analysis based on the Wiener process integrated with historical degradation data.

Authors :
Kang, Wenda
Tian, Yubin
Xu, Houbao
Wang, Dianpeng
Zheng, Huiling
Zhang, Ming
Mu, Hao
Source :
Quality & Reliability Engineering International. Jun2023, Vol. 39 Issue 4, p1376-1395. 20p.
Publication Year :
2023

Abstract

For high‐reliability and long‐life electronic devices, reliability analyses based on degradation data with small sample sizes are an outstanding question. Recently, increasing attention has been paid to the abundant historical degradation data. Exploiting the information in these historical data efficiently and integrating them to benefit the current reliability analysis is an important issue. This study proposes a new integrating method for the historical and current degradation data based on the Wiener process by considering the consistency of failure mechanisms between the different batches of degradation data. Simulation studies show that the new method has superior reliability estimation, and is robust to the assumption of consistent failure mechanisms. Finally, the proposed method is used to analyze a real data set consisting of the metal‐oxide‐semiconductor field‐effect transistor (MOSFET) degradation data. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
07488017
Volume :
39
Issue :
4
Database :
Academic Search Index
Journal :
Quality & Reliability Engineering International
Publication Type :
Academic Journal
Accession number :
163565726
Full Text :
https://doi.org/10.1002/qre.3300