Fault Detection Using Canonical Variate Analysis-Reference-Cited by-同舟云学术

Fault Detection Using Canonical Variate Analysis

Published:2003-12-19 Issue:2 Volume:43 Page:458-474
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Juricek Ben C.¹,Seborg Dale E.¹,Larimore Wallace E.¹

Affiliation:

1. Toyon Research Corporation, 75 Aero Camino, Suite A, Goleta, California 93106, Department of Chemical Engineering, University of California, Santa Barbara, California 93106, and Adaptics, Inc., 1717 Briar Ridge Road, McLean, Virginia 22101

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie0301684

Reference26 articles.

1. Juricek, B. Multivariable Statistical Methods for System Identification and Process Monitoring. Ph.D. Dissertation, Department of Chemical Engineering, University of California, Santa Barbara, CA, 2002.

2. A review of multivariate control charts

3. Using On-Line Process Data to Improve Quality: Challenges for Statisticians

4. Statistical process control of multivariate processes

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