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A process monitoring scheme based on independent component analysis and adjusted outliers

Published:2009-01-29 Issue:6 Volume:48 Page:1727-1743
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Hsu Chun-Chin¹,Chen Long-Sheng²,Liu Cheng-Hsiang³

Affiliation:

1. a Department of Industrial Engineering and Management , Chaoyang University of Technology, Wufong Township , Taichung County, Taiwan

2. b Department of Information Management , Chaoyang University of Technology, Wufong Township , Taichung County, Taiwan

3. c Department of Industrial Engineering and Management , Hsiuping Institute of Technology, Dali City , Taichung County, Taiwan

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207540802552683

Reference29 articles.

1. A Robust Measure of Skewness

2. A robustification of independent component analysis

3. Multivariate statistical diagnosis using triangular representation of fault patterns in principal component space

4. The application of principal component analysis and kernel density estimation to enhance process monitoring

5. Regularised kernel density estimation for clustered process data

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