Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series-Reference-Cited by-同舟云学术

Process Fault Diagnosis for Continuous Dynamic Systems Over Multivariate Time Series

Published:2019-11-06 Issue: Volume: Page:
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Container-title:Time Series Analysis - Data, Methods, and Applications
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Author:

Aldrich Chris

Publisher

IntechOpen

Link

http://www.intechopen.com/download/pdf/66836

Reference104 articles.

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3. De Ketelaere B, Hubert M, Schmitt E. A review of PCA-based statistical process monitoring methods for time-dependent, high-dimensional data. (Downloaded from: https://wis.kuleuven.be/stat/robust/papers/2013/deketelaere-review.pdf on 26 December 2014). 2013

4. Ku W, Storer RH, Georgakis C. Disturbance detection and isolation by dynamic principal component analysis. Chemometrics and Intelligent Laboratory Systems. 1995;30(1):179-196

5. Tsung F. Statistical monitoring and diagnosis of automatic controlled processes using dynamic principal component analysis. International Journal of Production Research. 2000;38(3):625-637

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