Experimental methods in chemical engineering: Data processing and data usage in decision‐making Article Swipe
Émilie Thibault
,
Moncef Chioua
,
Maxime McKay
,
Milan Korbel
,
Gregory S. Patience
,
Paul Stuart
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/cjce.25014
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1002/cjce.25014
Industrial facilities collect large volumes of data, store them according to prescribed protocols, and then interpret them for process decision‐making. Several sources and types of error contaminate these data for various reasons, but especially because they come from unreliable or unpredictable instruments. Data (or signal) processing corrects measurement errors to improve fidelity. Here, we highlight decision‐making applications and signal processing methods. To fully appreciate the state‐of‐the‐art, we interviewed plant data experts and software developers in the pulp and paper industry to examine how they apply signal processing methods in the context of decision‐making, including the value of process data, how these data are used, and the major barriers that prevent plants from using data. Process experts clean data thoroughly with basic approaches compared to the advanced techniques available in the recent literature. The interviews demonstrate that decisions in industry are primarily based on steady‐state process operating data. Challenges and barriers that prevent the use of process data to their full potential relate to resource limitations (people, time, and money), an entrenched culture, and access to recent technology. In practice, experts consider, implicitly or explicitly, data that represent the process operating under steady‐state conditions. A plant model that represents steady‐state operations is easier to interpret, is presented in a form that is usable by plant operators, and in this way, better enables decision‐making.
Related Topics
Concepts
USable
Computer science
Process (computing)
Data science
Resource (disambiguation)
Context (archaeology)
Fidelity
Data processing
Risk analysis (engineering)
Data collection
Data mining
Industrial engineering
Management science
Engineering
Database
World Wide Web
Paleontology
Computer network
Biology
Operating system
Telecommunications
Statistics
Medicine
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/cjce.25014
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cjce.25014
- OA Status
- bronze
- Cited By
- 18
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4380685788
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4380685788Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/cjce.25014Digital Object Identifier
- Title
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Experimental methods in chemical engineering: Data processing and data usage in decision‐makingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-06-14Full publication date if available
- Authors
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Émilie Thibault, Moncef Chioua, Maxime McKay, Milan Korbel, Gregory S. Patience, Paul StuartList of authors in order
- Landing page
-
https://doi.org/10.1002/cjce.25014Publisher landing page
- PDF URL
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cjce.25014Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cjce.25014Direct OA link when available
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USable, Computer science, Process (computing), Data science, Resource (disambiguation), Context (archaeology), Fidelity, Data processing, Risk analysis (engineering), Data collection, Data mining, Industrial engineering, Management science, Engineering, Database, World Wide Web, Paleontology, Computer network, Biology, Operating system, Telecommunications, Statistics, Medicine, MathematicsTop concepts (fields/topics) attached by OpenAlex
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18Total citation count in OpenAlex
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2025: 8, 2024: 6, 2023: 4Per-year citation counts (last 5 years)
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- Related works (count)
-
10Other works algorithmically related by OpenAlex
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