Author:
Yaru Cui,Kui Zhang,Huaguang Liu,Shengbiao An,Jie Huang
Abstract
Abstract
This paper deeply analyzed the types of information that can be mined in component reliability data. According to specific needs, the clustering measurement method of reliability data sample similarity is studied, the distance measurement strategy is obtained, the algorithm steps and analysis methods of Apriori association rule data mining are improved, the reliability data prediction and analysis methods based on statistical methods are compared. AR prediction model, MA model and other component reliability information time prediction methods have formed data mining software such as clustering, correlation analysis and prediction, discovered a large amount of hidden reliability information, and realized the comprehensive mining and utilization of electronic component reliability data.
Subject
General Physics and Astronomy
Reference8 articles.
1. From technological networks to social networks [J];Chen;IEEE Journal on Selected Areas in Communications,2013
2. Big data storage technologies: a survey [J];Siddiqa;Frontiers of Information Technology & Electronic Engineering,2017
3. Data mining: concepts and techniques [M];Han,2011
4. Communication theoretic inference on heterogeneous data [C];Chen,2016
5. The elements of statistical learning: data mining, inference, and prediction [J];John Lu;Journal of the Royal Statistical Society: Series A (Statistics in Society),2010