Robust Nonlinear Soft Sensor for Online Estimation of Product Compositions in Heat-Integrated Distillation Column Article Swipe
Nura Musa Tahir
,
Jie Zhang
,
Matthew Armstrong
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/chemengineering9040087
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/chemengineering9040087
This paper proposes the development of a robust nonlinear soft sensor for online estimation of product compositions in a Heat-Integrated Distillation Column (HIDiC). Traditional composition analyzers, such as gas chromatographs, are costly and suffer from long measurement delays, making them inefficient for real-time monitoring and control. To address this, data-driven soft sensors are developed using tray temperature data obtained from a high-fidelity dynamic HIDiC simulation. The study investigates both linear and nonlinear modeling strategies for composition estimation, including principal component regression (PCR), artificial neural networks (ANNs), and, for the first time in HIDiC modeling, a Bidirectional Long Short-Term Memory (BiLSTM) network. The objective is to evaluate the capability of each method for accurate estimation of product compositions in a HIDiC. The results demonstrate that the BiLSTM-based soft sensor significantly outperforms conventional methods and offers strong potential for enhancing real-time composition estimation and control in HIDiC systems.
Related Topics
Concepts
Soft sensor
Fractionating column
Computer science
Artificial neural network
Distillation
Principal component analysis
Nonlinear system
Tray
Component (thermodynamics)
Control engineering
Process engineering
Artificial intelligence
Engineering
Process (computing)
Chemistry
Physics
Operating system
Mechanical engineering
Organic chemistry
Thermodynamics
Quantum mechanics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/chemengineering9040087
- https://www.mdpi.com/2305-7084/9/4/87/pdf?version=1754891757
- OA Status
- gold
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4413221752
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4413221752Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/chemengineering9040087Digital Object Identifier
- Title
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Robust Nonlinear Soft Sensor for Online Estimation of Product Compositions in Heat-Integrated Distillation ColumnWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-08-11Full publication date if available
- Authors
-
Nura Musa Tahir, Jie Zhang, Matthew ArmstrongList of authors in order
- Landing page
-
https://doi.org/10.3390/chemengineering9040087Publisher landing page
- PDF URL
-
https://www.mdpi.com/2305-7084/9/4/87/pdf?version=1754891757Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://www.mdpi.com/2305-7084/9/4/87/pdf?version=1754891757Direct OA link when available
- Concepts
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Soft sensor, Fractionating column, Computer science, Artificial neural network, Distillation, Principal component analysis, Nonlinear system, Tray, Component (thermodynamics), Control engineering, Process engineering, Artificial intelligence, Engineering, Process (computing), Chemistry, Physics, Operating system, Mechanical engineering, Organic chemistry, Thermodynamics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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17Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| primary_location.landing_page_url | https://doi.org/10.3390/chemengineering9040087 |
| publication_date | 2025-08-11 |
| publication_year | 2025 |
| referenced_works | https://openalex.org/W4405782952, https://openalex.org/W2523024201, https://openalex.org/W4382405349, https://openalex.org/W2986566787, https://openalex.org/W3114252361, https://openalex.org/W3198931507, https://openalex.org/W3102335995, https://openalex.org/W2520634214, https://openalex.org/W4385739956, https://openalex.org/W2054177534, https://openalex.org/W4392978539, https://openalex.org/W4316372411, https://openalex.org/W4406336624, https://openalex.org/W4403676064, https://openalex.org/W6878474122, https://openalex.org/W1978623055, https://openalex.org/W4409046927 |
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| corresponding_author_ids | https://openalex.org/A5066189540, https://openalex.org/A5100685752 |
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