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Processes, Volume 5, Issue 3

September 2017 - 19 articles

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
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Articles (19)

  • Article
  • Open Access
8 Citations
6,666 Views
10 Pages

Effects of Inoculum Type and Aeration Flowrate on the Performance of Aerobic Granular SBRs

  • Mariele K. Jungles,
  • Ángeles Val del Río,
  • Anuska Mosquera-Corral,
  • José Luis Campos,
  • Ramón Méndez and
  • Rejane H. R. Costa

19 July 2017

Aerobic granular sequencing batch reactors (SBRs) are usually inoculated with activated sludge which implies sometimes long start-up periods and high solids concentrations in the effluent due to the initial wash-out of the inoculum. In this work, the...

  • Article
  • Open Access
22 Citations
11,349 Views
15 Pages

16 July 2017

The deodorization of the refined palm oil process is simulated here using ASPEN HYSYS. In the absence of a library molecular distillation (MD) process in ASPEN HYSYS, first, a single flash vessel is considered to represent a falling film MD process w...

  • Feature Paper
  • Article
  • Open Access
211 Citations
46,304 Views
20 Pages

12 July 2017

Smart manufacturing (SM) is a term generally applied to the improvement in manufacturing operations through integration of systems, linking of physical and cyber capabilities, and taking advantage of information including leveraging the big data evol...

  • Feature Paper
  • Article
  • Open Access
43 Citations
13,845 Views
18 Pages

Principal Component Analysis of Process Datasets with Missing Values

  • Kristen A. Severson,
  • Mark C. Molaro and
  • Richard D. Braatz

6 July 2017

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 typically operate during data pre-proc...

  • Feature Paper
  • Article
  • Open Access
16 Citations
11,506 Views
13 Pages

Reduction of Dust Emission by Monodisperse System Technology for Ammonium Nitrate Manufacturing

  • Maksym Skydanenko,
  • Vsevolod Sklabinskyi,
  • Saad Saleh and
  • Shahzad Barghi

3 July 2017

Prilling is a common process in the fertilizer industry, where the fertilizer melt is converted to droplets that fall, cool down and solidify in a countercurrent flow of air in a prilling tower. A vibratory granulator was used to investigate liquid j...

  • Feature Paper
  • Opinion
  • Open Access
18 Citations
8,521 Views
11 Pages

On the Use of Multivariate Methods for Analysis of Data from Biological Networks

  • Troy Vargason,
  • Daniel P. Howsmon,
  • Deborah L. McGuinness and
  • Juergen Hahn

3 July 2017

Data analysis used for biomedical research, particularly analysis involving metabolic or signaling pathways, is often based upon univariate statistical analysis. One common approach is to compute means and standard deviations individually for each va...

  • Article
  • Open Access
255 Citations
24,262 Views
16 Pages

30 June 2017

We provide a critical outlook of the evolution of Industrial Process Monitoring (IPM) since its introduction almost 100 years ago. Several evolution trends that have been structuring IPM developments over this extended period of time are briefly refe...

  • Feature Paper
  • Review
  • Open Access
57 Citations
11,493 Views
25 Pages

Review of Field Development Optimization of Waterflooding, EOR, and Well Placement Focusing on History Matching and Optimization Algorithms

  • Jackson Udy,
  • Brigham Hansen,
  • Sage Maddux,
  • Donald Petersen,
  • Spencer Heilner,
  • Kevin Stevens,
  • David Lignell and
  • John D. Hedengren

27 June 2017

This paper presents a review of history matching and oil field development optimization techniques with a focus on optimization algorithms. History matching algorithms are reviewed as a precursor to production optimization algorithms. Techniques for...

  • Article
  • Open Access
34 Citations
12,841 Views
10 Pages

Techno-Economic Assessment of Benzene Production from Shale Gas

  • Salvador I. Pérez-Uresti,
  • Jorge M. Adrián-Mendiola,
  • Mahmoud M. El-Halwagi and
  • Arturo Jiménez-Gutiérrez

23 June 2017

The availability and low cost of shale gas has boosted its use as fuel and as a raw material to produce value-added compounds. Benzene is one of the chemicals that can be obtained from methane, and represents one of the most important compounds in th...

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Processes - ISSN 2227-9717Creative Common CC BY license