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https://hdl.handle.net/10316/8180
Title: | Multiscale statistical process control with multiresolution data | Authors: | Reis, Marco S. Saraiva, Pedro M. |
Issue Date: | 2006 | Citation: | AIChE Journal. 52:6 (2006) 2107-2119 | Abstract: | An approach is presented for conducting multiscale statistical process control that adequately integrates data at different resolutions (multiresolution data), called MR-MSSPC. Its general structure is based on Bakshi's MSSPC framework designed to handle data at a single resolution. Significant modifications were introduced in order to process multiresolution information. The main MR-MSSPC features are presented and illustrated through three examples. Issues related to real world implementations and with the interpretation of the multiscale covariance structure are addressed in a fourth example, where a CSTR system under feedback control is simulated. Our approach proved to be able to provide a clearer definition of the regions where significant events occur and a more sensitive response when the process is brought back to normal operation, when it is compared with previous approaches based on single resolution data. © 2006 American Institute of Chemical Engineers AIChE J, 2006 | URI: | https://hdl.handle.net/10316/8180 | DOI: | 10.1002/aic.10805 | Rights: | openAccess |
Appears in Collections: | FCTUC Eng.Química - Artigos em Revistas Internacionais |
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