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Published in 2021 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2020.104692
Abstract: Abstract As a multivariate statistical analysis method, canonical correlation analysis (CCA) performs well for state monitoring of linear processes, but most industrial processes are nonlinear. To solve this problem, kernel canonical correlation analysis (KCCA) has…
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Keywords:
state monitoring;
analysis;
canonical correlation;
correlation ... See more keywords
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Published in 2021 at "Control Engineering Practice"
DOI: 10.1016/j.conengprac.2020.104698
Abstract: Abstract In the modern hot strip mill process (HSMP), the operating performance may deteriorate because of wear of equipment, mode transitions, and random disturbances. If the process is not adjusted and maintained, faults may occur,…
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Keywords:
lifecycle operating;
operating performance;
process;
performance assessment ... See more keywords
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Published in 2019 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.9b03069
Abstract: In the field of multivariate statistical process monitoring (MSPM), fault isolation has attracted increasing attention, due to its importance in ensuring process reliability and product quality. However, the existing fault isolation methods are mostly limited…
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Keywords:
fault;
fault isolation;
canonical correlation;
process ... See more keywords
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Published in 2017 at "Statistical Methods in Medical Research"
DOI: 10.1177/0962280215598805
Abstract: Adherence to medication is often measured as a continuous outcome but analyzed as a dichotomous outcome due to lack of appropriate tools. In this paper, we illustrate the use of the temporal kernel canonical correlation…
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Keywords:
temporal kernel;
canonical correlation;
kernel canonical;
correlation analysis ... See more keywords