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Processes, Volume 5, Issue 3

September 2017 - 19 articles

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Cover Story: Datasets with missing values arising from causes such as sensor failure, inconsistent sampling rates, and merging data from different systems are common in the process industry. Methods for handling missing data are typically applied during data pre-processing, but can also be applicable during model building. This article considers missing data within the context of principal component analysis (PCA), a method that has widespread industrial application for multivariate statistical process control. Algorithms for applying PCA to datasets with missing values are reviewed, and a case study using the Tennessee Eastman process is presented to demonstrate the performance of the algorithms. View this paper

Articles (19)

  • Article
  • Open Access
6 Citations
6,411 Views
19 Pages

On-Line Dynamic Data Reconciliation in Batch Suspension Polymerizations of Methyl Methacrylate

  • Jamille C. Coimbra,
  • Príamo A. Melo,
  • Diego M. Prata and
  • José Carlos Pinto

5 September 2017

A phenomenological model was developed to describe the dynamic evolution of the batch suspension polymerization of methyl methacrylate in terms of reactor temperature, pressure, concentrations and molecular properties of the final polymer. Then, the...

  • Feature Paper
  • Review
  • Open Access
3 Citations
6,659 Views
13 Pages

Synthesis of Water-Soluble Group 4 Metallocene and Organotin Polyethers and Their Ability to Inhibit Cancer

  • Charles E. Carraher,
  • Michael R. Roner,
  • Jessica Frank,
  • Alica Moric-Johnson,
  • Lindsey C. Miller,
  • Kendra Black,
  • Paul Slawek,
  • Francesca Mosca,
  • Jeffrey D. Einkauf and
  • Floyd Russell

1 September 2017

Water-soluble metallocene and organotin-containing polyethers were synthesized employing interfacial polycondensation. The reaction involved various chain lengths of poly(ethylene glycol), and produced water-soluble polymers in decent yield. Commerci...

  • Feature Paper
  • Article
  • Open Access
19 Citations
6,492 Views
12 Pages

1 September 2017

IL-6 signaling plays an important role in inflammatory processes in the body. While a number of models for IL-6 signaling are available, the parameters associated with these models vary from case to case as they are non-trivial to determine. In this...

  • Review
  • Open Access
28 Citations
10,335 Views
25 Pages

Perspectives on Resource Recovery from Bio-Based Production Processes: From Concept to Implementation

  • Isuru A. Udugama,
  • Seyed Soheil Mansouri,
  • Aleksandar Mitic,
  • Xavier Flores-Alsina and
  • Krist V. Gernaey

21 August 2017

Recovering valuable compounds from waste streams of bio-based production processes is in line with the circular economy paradigm, and is achievable by implementing “simple-to-use” and well-established process separation technologies. Such solutions a...

  • Article
  • Open Access
124 Citations
15,998 Views
18 Pages

18 August 2017

Energy optimization in buildings by controlling the Heating Ventilation and Air Conditioning (HVAC) system is being researched extensively. In this paper, a model-free actor-critic Reinforcement Learning (RL) controller is designed using a variant of...

  • Feature Paper
  • Article
  • Open Access
2 Citations
7,473 Views
17 Pages

Characterizing Gene and Protein Crosstalks in Subjects at Risk of Developing Alzheimer’s Disease: A New Computational Approach

  • Kanchana Padmanabhan,
  • Kelly Nudelman,
  • Steve Harenberg,
  • Gonzalo Bello,
  • Dongwha Sohn,
  • Katie Shpanskaya,
  • Priyanka Tiwari Dikshit,
  • Pallavi S. Yerramsetty,
  • Rudolph E. Tanzi and
  • Andrew J. Saykin
  • + 4 authors

17 August 2017

Alzheimer’s disease (AD) is a major public health threat; however, despite decades of research, the disease mechanisms are not completely understood, and there is a significant dearth of predictive biomarkers. The availability of systems biology appr...

  • Feature Paper
  • Review
  • Open Access
69 Citations
14,358 Views
37 Pages

Comparison of CO2 Capture Approaches for Fossil-Based Power Generation: Review and Meta-Study

  • Thomas A. Adams II,
  • Leila Hoseinzade,
  • Pranav Bhaswanth Madabhushi and
  • Ikenna J. Okeke

14 August 2017

This work is a meta-study of CO2 capture processes for coal and natural gas power generation, including technologies such as post-combustion solvent-based carbon capture, the integrated gasification combined cycle process, oxyfuel combustion, membran...

  • Article
  • Open Access
6 Citations
8,220 Views
18 Pages

14 August 2017

Over the years, there has been a consistent increase in the amount of data collected by systems and processes in many different industries and fields. Simultaneously, there is a growing push towards revealing and exploiting of the information contain...

  • Article
  • Open Access
23 Citations
9,090 Views
13 Pages

Rheology of Green Plasticizer/Poly(vinyl chloride) Blends via Time–Temperature Superposition

  • Roya Jamarani,
  • Hanno C. Erythropel,
  • Daniel Burkat,
  • James A. Nicell,
  • Richard L. Leask and
  • Milan Maric

7 August 2017

Plasticizers are commonly added to poly(vinyl chloride) (PVC) and other brittle polymers to improve their flexibility and processing properties. Phthalate plasticizers such as di(2-ethylhexyl phthalate) (DEHP) are the most common PVC plasticizers and...

  • Feature Paper
  • Review
  • Open Access
4 Citations
6,575 Views
30 Pages

3 August 2017

The effectiveness of model-based multivariable controllers depends on the quality of the model used. In addition to satisfying standard accuracy requirements for model structure and parameter estimates, a model to be used in a controller must also sa...

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Processes - ISSN 2227-9717Creative Common CC BY license