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

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 74648-74678 ◽  
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

Reliability Assessment of Superluminescent Diodes from Performance Degradation Data

2010 ◽  
Vol 30 (10) ◽  
pp. 3044-3048 ◽  
Author(s):  
晁代宏 Chao Daihong ◽  
马静 Ma Jing ◽  
张春熹 Zhang Chunxi
Keyword(s):  
Reliability Assessment ◽  
Performance Degradation ◽  
Degradation Data ◽  
Superluminescent Diodes

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

Product Reliability Assessment Method Combining Degradation Data and Lifetime Data

2008 ◽  
Vol 44-46 ◽  
pp. 795-802 ◽  
Author(s):  
Bao Hua Peng ◽  
J.L. Zhou ◽  
Jing Feng
Keyword(s):  
Maximum Likelihood ◽  
Likelihood Function ◽  
Reliability Assessment ◽  
Performance Degradation ◽  
Lifetime Data ◽  
Product Reliability ◽  
Film Capacitor ◽  
Degradation Data ◽  
The One ◽  
First Time

Reliability of products has long been considered as an important quality characteristic. Traditional methods of product reliability assessment are based on lifetime data. With products being much more reliable and the growing need for developing new products within shorter period and at lower cost, we can hardly get enough lifetime data in many cases. Performance degradation data can also be used for reliability assessment. Recently, they are found to be useful in some cases where they are easier to collect. But when performance degradation data are also limited and some lifetime data are available, it is preferred to utilize both information sources. This paper deals with the problem of reliability assessment combining both performance degradation data and lifetime data. It is assumed that two samples from the same product are tested differently. Degradation data are collected from one sample and lifetime data from the other. First, the performance degradation model is established, using either statistical methods or methods from physics of failure. Then lifetime of the product, which is defined as the first time when the performance crosses the known failure threshold, is calculated. The MLE method is used for parameter estimation where the maximum likelihood function is multiplication of the one from degradation data and the one from lifetime data. To illustrate the proposed method, an example of the metallized film capacitor, which is used in inertial confinement fusion (ICF) facility, is given. We model the performance degradation data of metallized film capacitor with Wiener process with drift. The failure of the capacitor is defined as the first time when its capacitance drops below a threshold. The lifetime distribution is deduced and the parameters are estimated from the joint maximum likelihood function. A comparison is conducted between the assessment results of degradation data only and those of combination of degradation data and lifetime data. In conclusion we propose that both degradation information and lifetime information should be used when neither of them is sufficient enough for reliability assessment. Some directions for future work are also discussed.

Reliability Assessment for a Certain Diesel Engine Based on Performance Degradation Data

2011 ◽  
Vol 199-200 ◽  
pp. 481-486
Author(s):  
Fu Zhou Feng ◽  
Wei Xing ◽  
Ai Wei Si ◽  
Guang Ping Wu
Keyword(s):  
Diesel Engine ◽  
Reliability Assessment ◽  
Performance Degradation ◽  
Quality Characteristic ◽  
Lifetime Data ◽  
Compression Pressure ◽  
Degradation Data ◽  
Equipment Reliability ◽  
Long Time ◽  
Important Quality

Reliability of equipment has long been considered as an important quality characteristic. Traditional methods of equipment reliability assessment are based on lifetime data. With equipment being much more reliable and the growing need for developing new equipments within shorter period and at lower cost, we can hardly get enough lifetime data in many cases. Performance degradation data can also be used for reliability assessment. This paper is mainly researched on reliability of a certain diesel engine. Through analyzing the failure mode and failure mechanism, performance degradation parameters of the diesel engine is selected as compression pressure in a cylinder while driven by an electrical motor. Based on a long time accumulation on performance degradation data, two methods of degradation path fitting and degradation value distribution are tried in this paper to evaluate reliability of the diesel engine. Besides, the regulation of the reliability variation is given by the results of the assessment.

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