Combining Boolean Model with Improved PCA for Analyzing Purified Water Security

Ji Da Huang; Li Yuan Wang; Long Zheng; Wu Chen

doi:10.4028/www.scientific.net/AMR.113-116.1363

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A Chaotic Prediction Method to Time Series Data
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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 113-116Combining Boolean Model with Improved PCA for...

Combining Boolean Model with Improved PCA for Analyzing Purified Water Security

Abstract:

According to the companies' purified water testing data, this paper established a product Boolean test model and used principal component analysis for analyzing security risk of purified water, and then based on probability theory, this paper set the distribution of testing batches to help the inspection department attaining the optimal sampling plan in the limited funding inspection.

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Periodical:

Advanced Materials Research (Volumes 113-116)

Pages:

1363-1366

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.113-116.1363

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Online since:

June 2010

Authors:

Ji Da Huang, Li Yuan Wang, Long Zheng, Wu Chen

Keywords:

Boolean Test Model, Principal Component Analysis (PCA), Probability Inspection, Safety Risk Analysis

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