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The Relationship Between Voltage and Life in Accelerated Life Experiment

Author(s)

Wanyi Yang

Affiliation(s)

School of applied mathematics, XJTLU University, Suzhou, China

Abstract

The increasingly developing society has put forward higher requirements for the inspection speed of products. In order to meet the requirements for the increase of product life detection rate, the accelerated life experiment came into being. The purpose of this paper is to study the relationship between voltage and life, using the method of linear regression, through the assumption of a semi-parameter to the whole, to analyze all the data. And because the relationship between voltage and life conforms to the inverse power law model, the experiment is carried out.

Keywords

Accelerated Life; Inverse Power Law; Semi-parametric Hypothesis; Linear Regression

References

[1] Guangbin Yang. Life Cycle Reliability Engineering [M]. Canada: Published by John Wiley & Sons, 2007 (pp. 237-238). [2] Vassiliou, P., & Mettas, A. (2001). Understanding accelerated life-testing analysis. In Annual reliability and maintainability symposium, tutorial notes. (pp. 1-2) [3] Elsayed, E. A. (2003). Accelerated life testing. In Handbook of reliability engineering (pp. 415-428). London: Springer London. (pp. 2) [4] Gu, W., Sun, Z., Wei, X., & Dai, H. (2014). A new method of accelerated life testing based on the Grey System Theory for a model-based lithium-ion battery life evaluation system. Journal of Power Sources, 267, 366-379. (pp. 3) [5] Skirt Wei-Hua, Chen Xun, Tao Jun-Yong, Zhang Chun-hua, & Jiang Pei. (2002). High Accelerated Life Test (HALT) and High Accelerated Stress Screening (HASS). Intensity and environment. (pp. 24) [6] Pascual, F., Meeker, W. Q., & Escobar, L. A. (2006). Accelerated life test models and data analysis. Handbook of Engineering Statistics (H. Pham, ed.) Chapter, 5. [7] Yada Zhu &Elsayed A. Elsayed. Design of Equivalent Accelerated Life Testing Plans under Different Stress Applications. Pages 463-478 | Received 01 Nov 2009, Accepted 01 Oct 2010, Published online: 09 Feb 2016. https://doi.org/10.1080/16843703.2011.11673271 [8] Guangbin Yang. Life Cycle Reliability Engineering [M]. Canada: Published by John Wiley & Sons, 2007. (pp. 249-250) [9] Pascual, F., Meeker, W. Q., & Escobar, L. A. (2006). Accelerated life test models and data analysis. Handbook of Engineering Statistics (H. Pham, ed.) Chapter, 9. [10] Pascual, F., Meeker, W. Q., & Escobar, L. A. (2006). Accelerated life test models and data analysis. Handbook of Engineering Statistics (H. Pham, ed.) Chapter, 9.