Optimal burn-in strategy for high reliable products using convolutional neural network

Optimal burn-in strategy for high reliable products using convolutional neural network

Burn-in test is widely used to improve the product reliability from the customer's perspective by identifying and screening out defective individuals before they are marketed. For those high reliable products whose failures are caused by gradual degradation, burn-in test not only could pick out...

תיאור מלא

מידע ביבליוגרפי
Main Authors: Lyu, Yi, Gao, Junyan, Chen, Ci, Jiang, Yijie, Li, Huachuan, Chen, Kairui, Zhang, Yun
מחברים אחרים: School of Electrical and Electronic Engineering
פורמט: Journal Article
שפה:English
יצא לאור: 2021
נושאים:
Engineering::Electrical and electronic engineering
Burn-in
Deep Learning
גישה מקוונת:https://hdl.handle.net/10356/145919

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