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Computer Science and Information Engineering, World Congress on (2009)
Los Angeles, California USA
Mar. 31, 2009 to Apr. 2, 2009
ISBN: 978-0-7695-3507-4
pp: 262-266
ABSTRACT
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.
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CITATION
Lu Jianhua, Lu Ningyun, "A Hierarchical Statistical Process Monitoring Strategy for Multivariable Multi-rate Industrial Processes", Computer Science and Information Engineering, World Congress on, vol. 04, no. , pp. 262-266, 2009, doi:10.1109/CSIE.2009.259
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