RETRACTED: A Review on Modeling and Analysis of Accelerated Degradation Data for Reliability Assessment

In order to develop the reliability assessment of high-reliability and long-lifetime products, analyses for accelerated degradation test is discussed in this article. First, a method of building degradation path is presented; second, the means of degradation data processing is analyzed; finally, an example is presented and validity of this method is verified.

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Modeling and Analysis of Performance Degradation Data for Reliability Assessment: A Review

IEEE Access ◽

10.1109/access.2020.2987332 ◽

2020 ◽

Vol 8 ◽

pp. 74648-74678 ◽

Cited By ~ 3

Author(s):

Song Li ◽

Zhiyong Chen ◽

Qiaobin Liu ◽

Wenku Shi ◽

Kunheng Li

Keyword(s):

Reliability Assessment ◽

Performance Degradation ◽

Modeling And Analysis ◽

Degradation Data ◽

Analysis Of Performance

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Reliability assessment of functional unit based on accelerated degradation data

2009 8th International Conference on Reliability, Maintainability and Safety ◽

10.1109/icrms.2009.5270016 ◽

2009 ◽

Cited By ~ 1

Author(s):

Yuming Wang ◽

Jinyan Cai

Keyword(s):

Functional Unit ◽

Reliability Assessment ◽

Accelerated Degradation ◽

Degradation Data

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Statistical Analysis of the Degradation Data Based on Pseudo-Life Distribution

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.933.784 ◽

2014 ◽

Vol 933 ◽

pp. 784-788 ◽

Cited By ~ 1

Author(s):

Jun Sheng Wang ◽

Yi Zhou He ◽

Yi Dong Wang ◽

Wei Hua Liu

Keyword(s):

Continuous Time ◽

Life Prediction ◽

High Reliability ◽

Reliability Assessment ◽

Time Function ◽

Life Distribution ◽

Accelerated Degradation ◽

Degradation Data ◽

Long Life ◽

Degradation Test

Focus on solving the life and reliability problems of long-life and high reliability products, a method of modeling and parameter estimation on reliability evaluation and life prediction with accelerated degradation data was proposed in this paper. In the first, three statistical methods of degradation test were analyzed, then according to the features of accelerated degradation data, the statistical model of degradation data based on pseudo-life was established. This method can effectively utilize the horizontal information of degradation data of product under different accelerated stress level, and integrate the advantage that continuous-time function model fits the degradation curve of product strongly, and improve the accuracy of reliability assessment and life prediction of product.

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