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2009 WRI World Congress on Computer Science and Information Engineering
A Hierarchical Statistical Process Monitoring Strategy for Multivariable Multi-rate Industrial Processes
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
A hierarchical statistical process monitoring strategy is proposed for the industrial processes with multivariable multi-rate sampled measurements. By making full use of multi-rate measurements, two-level models are adopted where the sub-PCA models are built on high-rate measurements to ensure timely abnormality detection and the super Multi-block PCA model is built on the lifted process measurements to monitor the overall operating performance. The ability of the proposed strategy is demonstrated with the benchmark TE process.
Citation:
Lu Jianhua, Lu Ningyun, "A Hierarchical Statistical Process Monitoring Strategy for Multivariable Multi-rate Industrial Processes," csie, vol. 4, pp.262-266, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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