Now showing items 1-6 of 6

  • Data-driven soft-sensors for online monitoring of batch processes with different initial conditions 

    Shokry, Ahmed; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Pergamon Press, 2018-10-04)
    Article
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    A soft-sensing methodology applicable to batch processes operated under changeable initial conditions is presented. These cases appear when the raw materials specifications differ from batch to batch, different production ...
  • Kriging based fault detection and diagnosis approach for nonlinear noisy dynamic processes 

    Shokry, Ahmed; Ardakani, Mohammadhamed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
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    This paper presents a hybrid approach to enhance the performance of the data-based Pattern Classification Techniques (PCTs) used for Fault Detection and Diagnosis (FDD) of nonlinear dynamic noisy processes. The method ...
  • Modeling and simulation of complex nonlinear dynamic processes using data based models: application to photo-fenton process 

    Shokry, Ahmed; Audino, Francesca; Vicente Núñez, Patricia; Escudero Bakx, Gerard; Pérez Moya, Montserrat; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2015)
    Conference report
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    This paper investigates data based modelling of complex nonlinear processes, for which a first principle model useful for process monitoring and control is not available. These empirical models may be used as soft sensors ...
  • Multiparametric metamodels for model predictive control of chemical processes 

    Shokry, Ahmed; Dombayci, Canan; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
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    This work proposes a Data-Based MultiParametric-Model Predictive Control (DBMPMPC) methodology, which enables simple implementations of explicit MPC in situations when the deep mathematical knowledge required to develop ...
  • Optimal features selection for designing a fault diagnosis system 

    Ardakani, Mohammadhamed; Askarian, Mahdieh; Shokry, Ahmed; Escudero Bakx, Gerard; Graells Sobré, Moisès; Espuña Camarasa, Antonio (Elsevier, 2016)
    Conference report
    Restricted access - publisher's policy
    Fault diagnosis (FD) using data-driven methods is essential for monitoring complex process systems, but its performance is severely affected by the quality of the used information. Additionally, processing huge amounts of ...
  • Optimal management of bio-based energy supply chains under parametric uncertainty through a data-driven decision-support framework 

    Medina González, Sergio Armando; Shokry, Ahmed; Silvente Saiz, Javier; Lupera Calahorrano, Gicela Jazmín; Espuña Camarasa, Antonio (2019-01-01)
    Article
    Open Access
    This paper addresses the optimal management of a multi-objective bio-based energy supply chain network subjected to multiple sources of uncertainty. The complexity to obtain an optimal solution using traditional uncertainty ...