Encontrados 10 documentos, a visualizar página 1 de 1
Defining the structure of DPCA models and its impact on process monitoring and ...
Rato, Tiago J.; Reis, Marco S.Dynamic Principal Component Analysis (DPCA) is an extension of Principal Component Analysis (PCA), developed in order to add the ability to capture the autocorrelative behavior of processes, to the existent and well-known PCA capability for modeling cross-correlation between variables. The simultaneous modeling of the dependencies along the “variable” and “time” modes, allows for a more compact and rigorous des...
Wavelet texture analysis of on-line acquired images for paper formation assessm...
Reis, Marco S.; Bauer, Arminhttp://www.sciencedirect.com/science/article/B6TFP-4TN82BP-2/2/0f2b38841a24101a06bac25004632e05
Multiscale statistical process control using wavelet packets
Reis, Marco S.; Saraiva, Pedro M.; Bakshi, Bhavik R.An approach is presented for conducting multiscale statistical process control (MSSPC), based on a library of basis functions provided by wavelet packets. The proposed approach explores the improved ability of wavelet packets in extracting features with arbitrary locations, and having different localizations in the time-frequency domain, in order to improve the detection performances achieved with wavelet-based...
Heteroscedastic latent variable modelling with applications to multivariate sta...
Reis, Marco S.; Saraiva, Pedro M.We present an approach for conducting multivariate statistical process control (MSPC) in noisy environments, i.e., when the signal to noise ratio is low, and, furthermore, noise standard deviation (uncertainty) affecting each collected value can vary over time, and is assumingly known. This approach is based upon a latent variable model structure, HLV (standing for heteroscedastic latent variable model), that e...
Multiscale statistical process control with multiresolution data
Reis, Marco S.; Saraiva, Pedro M.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 presente...
Paper superficial waviness: Conception and implementation of an industrial stat...
Costa, Raquel; Angélico, Dina; Reis, Marco S.; Ataíde, José M.; Saraiva, Pedro M.The development of proper measurement methodologies for product evaluation is a critical issue to papermakers since their customers are increasingly demanding in regard to new product development and product quality. ; http://www.sciencedirect.com/science/article/B6TF4-4FNTHB2-2/1/b6e1467b8beaf2a8df37e6239ed943dd
Different Modeling Approaches for a Heterogeneous Liquid-Liquid Reaction Process
Quadros, Paulo A.; Reis, Marco S.; Baptista, Cristina M. S. G.Multivariate linear regression (MLR) techniques were used to develop empirical models which are able to predict the formation of the main product and byproducts of the adiabatic benzene nitration process, as a function of the main operating conditions. Experiments carried out in a pilot plant enabled us to reproduce the operating conditions of the industrial process, providing experimental data in the intermedi...
Different Modeling Approaches for a Heterogeneous Liquid−Liquid Reaction Process
Quadros, Paulo A.; Reis, Marco S.; Baptista, Cristina M. S. G.Multivariate linear regression (MLR) techniques were used to develop empirical models which are able to predict the formation of the main product and byproducts of the adiabatic benzene nitration process, as a function of the main operating conditions. Experiments carried out in a pilot plant enabled us to reproduce the operating conditions of the industrial process, providing experimental data in the intermedi...
Integration of data uncertainty in linear regression and process optimization
Reis, Marco S.; Saraiva, Pedro M.Data uncertainties provide important information that should be taken into account along with the actual data. In fact, with the development of measurement instrumentation methods and metrology, one is very often able to rigorously specify the uncertainty associated with each measured value. The use of this piece of information, together with raw measurements, should - in principle - lead to more sound ways of ...
A comparative study of linear regression methods in noisy environments
Reis, Marco S.; Saraiva, Pedro M.With the development of measurement instrumentation methods and metrology, one is very often able to rigorously specify the uncertainty associated with each measured value (e.g. concentrations, spectra, process sensors). The use of this information, along with the corresponding raw measurements, should, in principle, lead to more sound ways of performing data analysis, since the quality of data can be explicitl...
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