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A Hierarchical Statistical Process Monitoring Strategy for Multivariable Multi-rate Industrial Processes

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2 Author(s)
Lu Jianhua ; Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China ; Lu Ningyun

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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:4 )

Date of Conference:

March 31 2009-April 2 2009