Parisa Bahri - Academia.edu (original) (raw)
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Papers by Parisa Bahri
Applied Mathematics and Computer Science, 2003
Nikraz M Caire G and Bahri P a a Methodology For the Development of Multi Agent Systems Using the Jade Platform Computer Systems Science and Engineering 21 Pp 99 116, 2006
Aerosol Science and Technology, 2001
Computer Aided Chemical Engineering, 2015
Computer Aided Chemical Engineering, 2011
Renewable and Sustainable Energy Reviews, 2015
Computer Aided Chemical Engineering, 2013
Moayer S and Bahri P a Intelligent Robust Optimisation Method For Power Capacity Expansion in Western Australia in Informs Annual Meeting 12 15 October Washington Dc, 2008
Integration of Process Design and Control, 1994
Renewable and Sustainable Energy Reviews, 2015
Computer Aided Chemical Engineering, 2015
Computer Aided Chemical Engineering, 2005
Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become v... more Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become very complex. This paper presents the Timed Hybrid Petri net (THPN) as a suitable tool for modelling and scheduling of hybrid systems. One of the major benefits over traditional methods is a significant reduction in complexity during problem formulation. A sugar milling plant containing both batch
Computer Aided Chemical Engineering, 2011
Measurements of Crystal Size Distribution (CSD) within industrial gibbsite precipitation plants a... more Measurements of Crystal Size Distribution (CSD) within industrial gibbsite precipitation plants are difficult and generally not available online. Data from laboratory sampling provides infrequent measurements of CSD that is not frequent enough for online control purposes. More commonly available physical measurements include temperature and density of individual precipitation vessels, mass flow rates of seed crystals, and feed conditions such as alumina concentration, caustic concentration, and volumetric flow.A neural network based estimator is constructed from data generated from a first principles model of an industrial gibbsite precipitation circuit. The inputs to the estimator include readily available online measurements along with simulated laboratory sampled CSD measurements. The estimator predicts characteristic information about number, surface and mass distributions. The neural network estimator is employed at key locations in a typical industrial gibbsite precipitation circuit to provide estimation of fine seed and coarse seed CSD, final precipitator output CSD, and classified product CSD. These estimations can be readily used in a control scheme that aims to improve plant yield and product CSD.
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007
Biofuel and Biorefinery Technologies, 2015
Biofuel and Biorefinery Technologies, 2015
Lecture Notes in Computer Science, 2003
Current data acquisition systems provide the user with hundreds and even thousands of variables w... more Current data acquisition systems provide the user with hundreds and even thousands of variables which need to be monitored and processed. These variables need to be organized within an expert control architecture encompassing tasks such as regulatory control, data reconciliation, process monitoring, fault detection and diagnosis, supervisory control, planning and scheduling. Task integration involves the integration of techniques in a continuously changing environment. This paper presents a new integration framework known as the Knowledge Management Method using hierarchical timed place Petri nets. Applicability of the proposed framework is demonstrated through the integration of the data reconciliation and supervisory control modules.
Computer Aided Chemical Engineering, 2014
Applied Mathematics and Computer Science, 2003
Nikraz M Caire G and Bahri P a a Methodology For the Development of Multi Agent Systems Using the Jade Platform Computer Systems Science and Engineering 21 Pp 99 116, 2006
Aerosol Science and Technology, 2001
Computer Aided Chemical Engineering, 2015
Computer Aided Chemical Engineering, 2011
Renewable and Sustainable Energy Reviews, 2015
Computer Aided Chemical Engineering, 2013
Moayer S and Bahri P a Intelligent Robust Optimisation Method For Power Capacity Expansion in Western Australia in Informs Annual Meeting 12 15 October Washington Dc, 2008
Integration of Process Design and Control, 1994
Renewable and Sustainable Energy Reviews, 2015
Computer Aided Chemical Engineering, 2015
Computer Aided Chemical Engineering, 2005
Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become v... more Scheduling of processes in mixed batch/continuous plants, due to their hybrid nature can become very complex. This paper presents the Timed Hybrid Petri net (THPN) as a suitable tool for modelling and scheduling of hybrid systems. One of the major benefits over traditional methods is a significant reduction in complexity during problem formulation. A sugar milling plant containing both batch
Computer Aided Chemical Engineering, 2011
Measurements of Crystal Size Distribution (CSD) within industrial gibbsite precipitation plants a... more Measurements of Crystal Size Distribution (CSD) within industrial gibbsite precipitation plants are difficult and generally not available online. Data from laboratory sampling provides infrequent measurements of CSD that is not frequent enough for online control purposes. More commonly available physical measurements include temperature and density of individual precipitation vessels, mass flow rates of seed crystals, and feed conditions such as alumina concentration, caustic concentration, and volumetric flow.A neural network based estimator is constructed from data generated from a first principles model of an industrial gibbsite precipitation circuit. The inputs to the estimator include readily available online measurements along with simulated laboratory sampled CSD measurements. The estimator predicts characteristic information about number, surface and mass distributions. The neural network estimator is employed at key locations in a typical industrial gibbsite precipitation circuit to provide estimation of fine seed and coarse seed CSD, final precipitator output CSD, and classified product CSD. These estimations can be readily used in a control scheme that aims to improve plant yield and product CSD.
2007 IEEE International Conference on Systems, Man and Cybernetics, 2007
Biofuel and Biorefinery Technologies, 2015
Biofuel and Biorefinery Technologies, 2015
Lecture Notes in Computer Science, 2003
Current data acquisition systems provide the user with hundreds and even thousands of variables w... more Current data acquisition systems provide the user with hundreds and even thousands of variables which need to be monitored and processed. These variables need to be organized within an expert control architecture encompassing tasks such as regulatory control, data reconciliation, process monitoring, fault detection and diagnosis, supervisory control, planning and scheduling. Task integration involves the integration of techniques in a continuously changing environment. This paper presents a new integration framework known as the Knowledge Management Method using hierarchical timed place Petri nets. Applicability of the proposed framework is demonstrated through the integration of the data reconciliation and supervisory control modules.
Computer Aided Chemical Engineering, 2014