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...

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Bibliographic Details
Main Authors: Lyu, Yi, Gao, Junyan, Chen, Ci, Jiang, Yijie, Li, Huachuan, Chen, Kairui, Zhang, Yun
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Online Access:https://hdl.handle.net/10356/145919
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Institution: Nanyang Technological University
Language: English
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