A new processing method for accelerated degradation data based on quantile regression and pseudo-failure lifetime

2018 ◽  
Vol 88-90 ◽  
pp. 1141-1145
Author(s):  
Jun Yang ◽  
Xiao Shi ◽  
Jianchun Zhang
Keyword(s):  
Quantile Regression ◽  
Processing Method ◽  
Accelerated Degradation ◽  
Degradation Data ◽  
New Processing

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

2020 ◽  
Vol 107 ◽  
pp. 113602 ◽  
Author(s):  
Zhenan Pang ◽  
XiaoSheng Si ◽  
Changhua Hu ◽  
Jianxun Zhang ◽  
Hong Pei
Keyword(s):  
Reliability Assessment ◽  
Modeling And Analysis ◽  
Accelerated Degradation ◽  
Degradation Data

Design of Accelerated Degradation Test Method and Failure Analysis of Flexible Hybrid Electronic Devices

2020 ◽  
Author(s):  
Alex Davila-Frias ◽  
Val Marinov ◽  
Om Prakash Yadav ◽  
Yuriy Atanasov
Keyword(s):  
Failure Analysis ◽  
Failure Process ◽  
Electronic Devices ◽  
Test Method ◽  
Stress Factors ◽  
Accelerated Degradation ◽  
Failure Data ◽  
Degradation Data ◽  
Accelerated Life ◽  
Temperature And Humidity

Abstract Accelerated life testing (ALT) has been a common choice to study the effects of environmental stresses on flexible hybrid electronics (FHE), a promising technology to produce flexible electronic devices. Nevertheless, accelerated degradation testing (ADT) has proven to be a more effective approach, which does not require failure occurrences, allowing shorter testing times. Since FHE devices are expected to be highly reliable, ADT provides useful information in the form of degradation data for further analysis without actual failure data. In this paper, we present the design and experimental setup of ADT for FHE considering two stress factors simultaneously. We use daisy-chain resistance as a measurable degradation characteristic to periodically monitor the degradation of FHE products under accelerated stress conditions. Two stress factors, temperature and humidity, are considered and ADT was carried out considering four combinations of temperature and humidity simultaneously. Failure analysis was performed on failed units to investigate the failure process and location of the failure. The ADT data was used to fit in the appropriate mathematical degradation model representing the failure process. The data analysis showed faster degradation paths for higher stress combinations. Finally, we present insights and further research opportunities to expand the work.

A nonlinear Wiener degradation model integrating degradation data under accelerated stresses and real operating environment

2020 ◽  
pp. 1748006X2097809
Author(s):  
Li Sun ◽  
Fangchao Zhao ◽  
Narayanaswamy Balakrishnan ◽  
Honggen Zhou ◽  
Xiaohui Gu
Keyword(s):  
Remaining Useful Life ◽  
Normal Stresses ◽  
Operating Environment ◽  
Unknown Parameters ◽  
Step Method ◽  
Degradation Model ◽  
Accelerated Degradation ◽  
Degradation Data ◽  
Proposed Model ◽  
The Difference

Remaining useful life (RUL) prediction in real operating environment (ROE) plays an important role in condition-based maintenance. However, the life information in ROE is limited, especially for some long-life products. In such cases, accelerated degradation test (ADT) is an effective method to collect data and then the accelerated degradation data are converted to normal level of accelerated stresses through acceleration factors. However, the stresses in ROE are different from normal stresses since there are some other stresses except normal stresses, which cannot be accelerated, but still have impact on the degradation. To predict the RUL in ROE, a nonlinear Wiener degradation model is proposed based on failure mechanism invariant principle which is the precondition and requirement of an ADT and a calibration factor is introduced to calibrate the difference between ROE and normal stresses. Moreover, the unit-to-unit variability is considered in the concern model. Based upon the proposed approach, the RUL distribution is derived in closed form. The unknown parameters in the model are obtained by a new two-step method through fuzing converted degradation data in normal stresses and degradation data in ROE. Finally, the validity of the proposed model is demonstrated through several simulation data and a case study.

Sucrose release from polysaccharide gels

2016 ◽  
Vol 7 (5) ◽  
pp. 2130-2146 ◽  
Author(s):  
Katsuyoshi Nishinari ◽  
Yapeng Fang
Keyword(s):  
Processing Method ◽  
Solid Foods ◽  
New Processing ◽  
Flavour Release

Sucrose release from polysaccharide gels has been studied extensively because it is expected to be useful in understanding flavour release from solid foods and to find a new processing method which produces more palatable and healthier foods.

Study on Reliability Assessment of Degradation Date Based on Pseudo Life Distribution

2013 ◽  
Vol 401-403 ◽  
pp. 1499-1502
Author(s):  
Ai Li Liu ◽  
Fang Yong Kou ◽  
Kun Hu Kou
Keyword(s):  
Data Processing ◽  
High Reliability ◽  
Reliability Assessment ◽  
Life Distribution ◽  
Accelerated Degradation ◽  
Degradation Data ◽  
Long Lifetime ◽  
Degradation Test ◽  
Accelerated Degradation Test

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.

Analyzing accelerated degradation data by nonparametric regression

1999 ◽  
Vol 48 (2) ◽  
pp. 149-158 ◽  
Author(s):  
Jyh-Jeu Horng Shiau ◽  
Hsin-Hua Lin
Keyword(s):  
Nonparametric Regression ◽  
Accelerated Degradation ◽  
Degradation Data

New processing method to fabricate high-performance carbon-nanotube/polyvinyl alcohol composite films

Carbon ◽  
2016 ◽  
Vol 110 ◽  
pp. 490-496 ◽  
Author(s):  
Yun Chen ◽  
Liang Zhang ◽  
Hang Zhan ◽  
Jian N. Wang
Keyword(s):  
Carbon Nanotube ◽  
Polyvinyl Alcohol ◽  
High Performance ◽  
Composite Films ◽  
Processing Method ◽  
New Processing
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