Data analysis method of the small samples and zero-failure data for space TWT accelerated life test

2014 ◽  
Author(s):  
Fangfang Song ◽  
Zhenwei Zhou ◽  
Shajin Li ◽  
Yunfei En ◽  
Bin Li
Keyword(s):  
Data Analysis ◽  
Accelerated Life Test ◽  
Small Samples ◽  
Analysis Method ◽  
Life Test ◽  
Failure Data ◽  
Data Analysis Method ◽  
Accelerated Life

The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution

2013 ◽  
Vol 791-793 ◽  
pp. 1260-1263
Author(s):  
Yi Zhou He ◽  
Jin Huang Wu ◽  
Yi Dong Wang ◽  
Wei Hua Liu
Keyword(s):  
High Reliability ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Test Reliability ◽  
Analysis Method ◽  
Life Test ◽  
Failure Data ◽  
Degradation Data ◽  
Accelerated Life ◽  
Long Life

In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.

The Statistics Analysis of Degradation Data Based on the Degradation Amount Distribution

2013 ◽  
Vol 739 ◽  
pp. 781-784
Author(s):  
Jun Sheng Wang ◽  
Yi Zhou He ◽  
Jin Huang Wu ◽  
Jun Wei Lei
Keyword(s):  
High Reliability ◽  
Performance Degradation ◽  
Accelerated Life Test ◽  
Test Reliability ◽  
Analysis Method ◽  
Life Test ◽  
Failure Data ◽  
Degradation Data ◽  
Accelerated Life ◽  
Long Life

In order to solve the key technology and method in reliability study of the long-life products, the analysis method of degradation data based on the degradation amount distribution was proposed in this paper. On the basis of statistical model, by analyzing three models of degradation amount distribution, it can be got there is a large number of reliability information with high-reliable and long-life products in performance degradation data. In the case of not getting the failure data by life test and accelerated life test, reliability assessment and life prediction could be carried out for high reliability and long life products with performance degradation data.

Accelerated Life Test Data Analysis for Repairable Systems

2006 ◽  
Vol 35 (10) ◽  
pp. 1803-1814 ◽  
Author(s):  
Won Young Yun ◽  
Eun Suk Kim ◽  
Ji Hwan Cha
Keyword(s):  
Data Analysis ◽  
Test Data ◽  
Accelerated Life Test ◽  
Repairable Systems ◽  
Life Test ◽  
Accelerated Life

A literature review on planning and analysis of multi-stress accelerated life test for reliability assessment

2019 ◽  
Vol 13 ◽  
Author(s):  
Xiangxiang Zhang ◽  
Jun Yang ◽  
Xuefeng Kong
Keyword(s):  
Data Analysis ◽  
Reliability Assessment ◽  
Accelerated Life Test ◽  
Optimal Designs ◽  
Test Plan ◽  
Life Test ◽  
The Past ◽  
Accelerated Life ◽  
Different Types ◽  
Inference Methods

Background: Multi-stress accelerated life test (MALT) has obtained increasing attention in reliability assessment due to its advantages. Started with constant-stress ALT with two stress variables, MALT has developed a lot during the past decades. In MALT, design of test plan and data analysis are two crucial aspects. Numerous researchers have discussed these two aspects and some important methods of planning and data analysis for MALT are presented. Methods: We first conducted a survey in the journal databases including Elsevier, Springer, IEEEXplore, Wiley and Taylor & Francis; and patent databases like Spacenet, USPTO and WIPO. Then we revised the literature including patents comprehensively on planning and analysis of multi-stress ALT. Results: Optimal designs for MALT under different stress loadings are summarized, and different types of statistical inference methods are categorized and introduced. Finally, some challenges and research trends are discussed for future study.

scholarly journals Life Prediction on a T700 Carbon Fiber Reinforced Cylinder with Limited Accelerated Life Testing Data

2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Ma Xiaobing ◽  
Zhang Yongbo
Keyword(s):  
Carbon Fiber ◽  
Test Data ◽  
Life Prediction ◽  
Rupture Life ◽  
Accelerated Life Testing ◽  
Accelerated Life Test ◽  
Life Testing ◽  
Life Test ◽  
Failure Data ◽  
Accelerated Life

An accelerated life testing investigation was conducted on a composite cylinder that consists of aluminum alloy and T700 carbon fiber. The ultimate failure stress predictions of cylinders were obtained by the mixing rule and verified by the blasting static pressure method. Based on the stress prediction of cylinder under working conditions, the constant stress accelerated life test of the cylinder was designed. However, the failure data cannot be sufficiently obtained by the accelerated life test due to the time limitation. Therefore, most of the data presented to be high censored in high stress level and zero-failure data in low stress level. When using the traditional method for rupture life prediction, the results showed to be of lower confidence. In this study, the consistency of failure mechanism for carbon fiber and cylinder was analyzed firstly. According to the analysis result, the statistical test information of carbon fiber could be utilized for the accelerated model constitution. Then, rupture life prediction method for cylinder was proposed based on the accelerated life test data and carbon fiber test data. In this way, the life prediction accuracy of cylinder could be improved obviously, and the results showed that the accuracy of this method increased by 35%.

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