6th Annual International Conference on Material Science and Environmental Engineering | |
Analysis of Key Environmental Impact Factors Based on Fuzzy Clustering and Grey T' s Correlation Degree Method | |
材料科学;生态环境科学 | |
Zhao, Gaofei^1 ; Huo, Yujie^1 ; Zhang, Zhaofeng^1 ; Peng, Zhaoyuan^2 | |
Beijing HAZT Testing Technology Co. Ltd., No. 9 Shun Xing Road, Shunyi District, Beijing, China^1 | |
Beijing Suplet Power Co. Ltd., China^2 | |
关键词: Basic principles; Communication device; Correlation degree; Environmental factors; Environmental impact factors; Fuzzy clustering method; Key influencing factors; Natural environments; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/472/1/012079/pdf DOI : 10.1088/1757-899X/472/1/012079 |
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来源: IOP | |
【 摘 要 】
This paper expounds the basic principle of fuzzy clustering and grey T' s correlation degree method. It takes a power module used in communication device and worked outfield as an example to analysis the impacts of natural environment factors on product, that based on failure rate. Firstly, fuzzy clustering method is used to classify the environmental factors into four categories. Secondly, grey T' s correlation degree method is used to compare and rank the degree of influence of the four types of factors on the failure rate of power module. Finally, the analysis method and the key environmental factors affect the failure of the power module are given. The analysis of key influencing factors lays a foundation for the analysis of failure causes and mechanism of products, and provides a basis for reliability test design.
【 预 览 】
Files | Size | Format | View |
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Analysis of Key Environmental Impact Factors Based on Fuzzy Clustering and Grey T' s Correlation Degree Method | 747KB | download |