Marco S. Reis
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Industrial process monitoring in the big data/industry 4.0 era: From detection, to diagnosis, to prognosis
MS Reis, G Gins
Processes 5 (3), 35, 2017
How can SMEs benefit from big data? Challenges and a path forward
S Coleman, R Göb, G Manco, A Pievatolo, X Tort‐Martorell, MS Reis
Quality and Reliability Engineering International 32 (6), 2151-2164, 2016
Fault detection in the Tennessee Eastman benchmark process using dynamic principal components analysis based on decorrelated residuals (DPCA-DR)
TJ Rato, MS Reis
Chemometrics and Intelligent Laboratory Systems 125, 101-108, 2013
A systematic comparison of PCA‐based statistical process monitoring methods for high‐dimensional, time‐dependent processes
T Rato, M Reis, E Schmitt, M Hubert, B De Ketelaere
AIChE Journal 62 (5), 1478-1493, 2016
Quality by design in pharmaceutical manufacturing: A systematic review of current status, challenges and future perspectives
HB Grangeia, C Silva, SP Simões, MS Reis
European journal of pharmaceutics and Biopharmaceutics 147, 19-37, 2020
Defining the structure of DPCA models and its impact on process monitoring and prediction activities
TJ Rato, MS Reis
Chemometrics and Intelligent Laboratory Systems 125, 74-86, 2013
Madeira wine ageing prediction based on different analytical techniques: UV–vis, GC-MS, HPLC-DAD
AC Pereira, MS Reis, PM Saraiva, JC Marques
Chemometrics and Intelligent Laboratory Systems 105 (1), 43-55, 2011
Analysis and assessment of Madeira wine ageing over an extended time period through GC–MS and chemometric analysis
AC Pereira, MS Reis, PM Saraiva, JC Marques
Analytica Chimica Acta 660 (1-2), 8-21, 2010
Advantage of using decorrelated residuals in dynamic principal component analysis for monitoring large-scale systems
TJ Rato, MS Reis
Industrial & Engineering Chemistry Research 52 (38), 13685-13698, 2013
Recent trends on hybrid modeling for Industry 4.0
J Sansana, MN Joswiak, I Castillo, Z Wang, R Rendall, LH Chiang, ...
Computers & Chemical Engineering 151, 107365, 2021
Data-driven methods for batch data analysis–A critical overview and mapping on the complexity scale
R Rendall, LH Chiang, MS Reis
Computers & Chemical Engineering 124, 1-13, 2019
Wavelet texture analysis of on-line acquired images for paper formation assessment and monitoring
MS Reis, A Bauer
Chemometrics and Intelligent Laboratory Systems 95 (2), 129-137, 2009
Multiscale statistical process control using wavelet packets
MS Reis, PM Saraiva, BR Bakshi
AIChE journal 54 (9), 2366-2378, 2008
Translation-invariant multiscale energy-based PCA for monitoring batch processes in semiconductor manufacturing
TJ Rato, J Blue, J Pinaton, MS Reis
IEEE Transactions on Automation Science and Engineering 14 (2), 894-904, 2016
Quality control of food products using image analysis and multivariate statistical tools
AC Pereira, MS Reis, PM Saraiva
Industrial & Engineering Chemistry Research 48 (2), 988-998, 2009
Integration of data uncertainty in linear regression and process optimization
MS Reis, PM Saraiva
AIChE journal 51 (11), 3007-3019, 2005
Assessing the value of information of data‐centric activities in the chemical processing industry 4.0
MS Reis, R Kenett
AIChE Journal 64 (11), 3868-3881, 2018
Challenges and future research directions
MS Reis, RD Braatz, LH Chiang
Chemical Engineering Progress 112 (3), 46-50, 2016
Multiscale statistical process control with multiresolution data
MS Reis, PM Saraiva
AIChE journal 52 (6), 2107-2119, 2006
Denoising and signal-to-noise ratio enhancement: wavelet transform and Fourier transform
MS Reis, PM Saraiva, BR Bakshi
Elsevier, 2009
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