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Proceedings Paper

Statistical inference of life distribution models for sensors
Author(s): Zhen Zhou; Zimei Su; Jianyin Guo
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Paper Abstract

How to reliably deduce life distribution of sensors is one of the practical problems in engineering. The methods currently used either lack accuracy or can not be applied until extensive test data are available. In this paper, a method combining with graphical estimation and parameter estimation has been proposed to solve this problem. Based upon the conventional methods and the theories described in this study, we have developed a computer software to deduce life distribution for engineering applications. A practical example was also given to show how the program performs statistical inference of life distribution model of sensors. By comparing the distributions, an optimum life distribution can be selected and a fit straight line and distribution parameters can be acquired. Key words: sensor, reliability, life disthbution, statistical inference.

Paper Details

Date Published: 19 December 1996
PDF: 4 pages
Proc. SPIE 2911, Advanced Sensor and Control-System Interface, (19 December 1996); doi: 10.1117/12.262506
Show Author Affiliations
Zhen Zhou, Harbin Univ. of Science and Technology (China)
Zimei Su, Harbin Univ. of Science and Technology (China)
Jianyin Guo, Harbin Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 2911:
Advanced Sensor and Control-System Interface
Bartholomew O. Nnaji, Editor(s)

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