A reliability analysis method of cloud theory – Monte Carlo based on performance degradation data

Based on reliability analysis theory, traditional interval reliability analysis method is improved by take the smaller value of probability reliability and interval reliability as the results of reliability assessment, which makes the reliability assessment results more fit engineering cases. The improved model is applied to reliability assessment of small sample products with degradation characteristics, and results of assessment are compared with existing methods. A numerical example is considered, the results show that the assessment results by the method proposed in the paper is reasonable and believable.

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Compound poisson process based reliability analysis method for performance degradation of GaAs space solar cells

2016 IEEE Industrial Electronics and Applications Conference (IEACon) ◽

10.1109/ieacon.2016.8067369 ◽

2016 ◽

Author(s):

Yu Li ◽

Bo Sun ◽

Zili Wang ◽

Yi Ren ◽

Haifu Jiang

Keyword(s):

Solar Cells ◽

Poisson Process ◽

Reliability Analysis ◽

Compound Poisson Process ◽

Performance Degradation ◽

Analysis Method ◽

Compound Poisson

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Reliability Analysis on Yuwangbian Slop Based on Monte-Carlo Simulation

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.250-253.3934 ◽

2011 ◽

Vol 250-253 ◽

pp. 3934-3940

Author(s):

Yi Fang Feng ◽

Hua Zhi Zhang ◽

Yu Wang ◽

Qing Jun Zuo

Keyword(s):

Monte Carlo ◽

Monte Carlo Method ◽

Reliability Analysis ◽

Working Condition ◽

Actual Condition ◽

Stability Factor ◽

Analysis Method ◽

Loess Slope ◽

The Monte Carlo Method ◽

The Stability

Based on the Yuwangbian high loess slope, which is located in Xi'an Yanta District, the basic principle of Monte-Carlo method is presented. By means of geotechnical engineering and geotechnical environment emulation software Geostudio-slope/w and based on Morgenstern-Price slope stability analysis method, the reliability and stability of the slope are analyzed under different kinds of working condition. The stability factor, reliability index and failure probability under the corresponding working conditions has been obtained. The results coincide with the actual condition, which makes the Geostudio software combine with the Monte-Carlo method and provides reference for the reliability analysis of loess slope.

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A Reliability Analysis Method of Accelerated Performance Degradation Based on Bayesian Strategy

IEEE Access ◽

10.1109/access.2019.2952337 ◽

2019 ◽

Vol 7 ◽

pp. 169047-169054 ◽

Cited By ~ 14

Author(s):

Rong Yuan ◽

Mao Tang ◽

Hui Wang ◽

Haiqing Li

Keyword(s):

Reliability Analysis ◽

Performance Degradation ◽

Analysis Method ◽

Bayesian Strategy

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

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.791-793.1260 ◽

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.

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