An improved accelerated degradation model for LED reliability assessment with self-heating impacts

2022 ◽  
Vol 128 ◽  
pp. 114428
Author(s):  
Minh-Tuan Truong ◽  
Phuc Do ◽  
Laurent Mendizabal ◽  
Benoit Iung
Keyword(s):  
Reliability Assessment ◽  
Degradation Model ◽  
Accelerated Degradation ◽  
Self Heating

Study of SnO2 Gas Sensor Accelerated Degradation Test

2014 ◽  
Vol 667 ◽  
pp. 364-367 ◽  
Author(s):  
Hui Juan Yuan ◽  
Jun Zhong Li ◽  
Zi Mei Su ◽  
En Jing Zhang ◽  
Ying Yang ◽  
...  
Keyword(s):  
Normal Stress ◽  
Gas Sensor ◽  
Reliability Assessment ◽  
Degradation Model ◽  
Accelerated Degradation ◽  
Accelerated Degradation Testing ◽  
Degradation Test ◽  
Accelerated Degradation Test ◽  
Degradation Testing ◽  
Accelerate Degradation

According to the reliability assessment of the SnO2 gas sensor, an accelerate degradation model was established by using temperature as the accelerated stress, the constant stress accelerated degradation testing (CSADT) was designed and conducted. The reliability of SnO2 gas sensor under the normal stress level was assessed based on pseudo life.

scholarly journals Particle Filtering Based Remaining Useful Life Prediction for Electromagnetic Coil Insulation

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 473
Author(s):  
Haifeng Guo ◽  
Aidong Xu ◽  
Kai Wang ◽  
Yue Sun ◽  
Xiaojia Han ◽  
...  
Keyword(s):  
Particle Filtering ◽  
Remaining Useful Life ◽  
Electrical Parameters ◽  
Degradation Model ◽  
Accelerated Degradation ◽  
Insulation Failure ◽  
Electromagnetic Coils ◽  
Degradation Monitoring ◽  
Insulation Degradation ◽  
Useful Life

Electromagnetic coils are one of the key components of many systems. Their insulation failure can have severe effects on the systems in which coils are used. This paper focuses on insulation degradation monitoring and remaining useful life (RUL) prediction of electromagnetic coils. First, insulation degradation characteristics are extracted from coil high-frequency electrical parameters. Second, health indicator is defined based on insulation degradation characteristics to indicate the health degree of coil insulation. Finally, an insulation degradation model is constructed, and coil insulation RUL prediction is performed by particle filtering. Thermal accelerated degradation experiments are performed to validate the RUL prediction performance. The proposed method presents opportunities for predictive maintenance of systems that incorporate coils.

Reliability assessment based on accelerated degradation: a case study

1991 ◽  
Vol 40 (5) ◽  
pp. 499-506 ◽  
Author(s):  
M.B. Carey ◽  
R.H. Koenig
Keyword(s):  
Reliability Assessment ◽  
Accelerated Degradation

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

scholarly journals Optimal plan for Wiener constant-stress accelerated degradation model

2020 ◽  
Vol 84 ◽  
pp. 191-201 ◽  
Author(s):  
Peihua Jiang ◽  
Bing Xing Wang ◽  
Xiaofei Wang ◽  
Shuidan Qin
Keyword(s):  
Constant Stress ◽  
Optimal Plan ◽  
Degradation Model ◽  
Accelerated Degradation

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.

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