Development of a New Machine Learning-based Informatics System for Product Health Monitoring Article Swipe
Moschos Papananias
,
Olusayo Obajemu
,
Thomas E. McLeay
,
Mahdi Mahfouf
,
Visakan Kadirkamanathan
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2020.03.075
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1016/j.procir.2020.03.075
Manufacturing informatics aims to optimize productivity by extracting information from numerous data sources and making decisions based on that information about the process and the parts being produced. Manufacturing processes usually include a series of costly operations such as heat treatment, machining, and inspection to produce high-quality parts. However, performing costly operations when the product conformance to specifications cannot be achievable is not desirable. This paper develops a new machine learning-based informatics system capable of predicting the end product quality so that non-value-adding operations such as inspection can be minimized and the process can be stopped before completion when the part being manufactured fails to meet the design specifications.
Related Topics
Concepts
Manufacturing engineering
Product (mathematics)
Quality (philosophy)
Process (computing)
Computer science
Informatics
Productivity
Machining
Materials informatics
Engineering
Systems engineering
Engineering drawing
Health informatics
Engineering informatics
Mechanical engineering
Health care
Economic growth
Macroeconomics
Electrical engineering
Epistemology
Operating system
Economics
Geometry
Philosophy
Mathematics
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.procir.2020.03.075
- OA Status
- diamond
- Cited By
- 6
- References
- 30
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3088393364
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3088393364Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1016/j.procir.2020.03.075Digital Object Identifier
- Title
-
Development of a New Machine Learning-based Informatics System for Product Health MonitoringWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-01-01Full publication date if available
- Authors
-
Moschos Papananias, Olusayo Obajemu, Thomas E. McLeay, Mahdi Mahfouf, Visakan KadirkamanathanList of authors in order
- Landing page
-
https://doi.org/10.1016/j.procir.2020.03.075Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1016/j.procir.2020.03.075Direct OA link when available
- Concepts
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Manufacturing engineering, Product (mathematics), Quality (philosophy), Process (computing), Computer science, Informatics, Productivity, Machining, Materials informatics, Engineering, Systems engineering, Engineering drawing, Health informatics, Engineering informatics, Mechanical engineering, Health care, Economic growth, Macroeconomics, Electrical engineering, Epistemology, Operating system, Economics, Geometry, Philosophy, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
6Total citation count in OpenAlex
- Citations by year (recent)
-
2023: 3, 2022: 2, 2021: 1Per-year citation counts (last 5 years)
- References (count)
-
30Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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