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Article
License: CC BY
Data sources: UnpayWall
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Conference object . 2016
License: CC BY
Data sources: ZENODO
https://doi.org/10.1109/aim.20...
Article . 2016 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Smart sensors for process analytical technology

Authors: Niall O' Mahony; Trevor Murphy; Krishna Panduru; Daniel Riordan; Joseph Walsh;

Smart sensors for process analytical technology

Abstract

Increased globalisation and competition are drivers for process analytical technologies (PAT) that enable seamless process control, greater flexibility and cost efficiency in the process industries. This research is carried out in collaboration with a project which aims to introduce an integrated process control approach, embedding novel sensors for monitoring in real time the critical control parameters of key processes in the minerals, ceramics, non-ferrous metals, and chemical process industries. The paper will review the development of a suite of affordable sensors along with smart sensor features and algorithms for easier integration, easier maintenance, metrological performance enhancement, process monitoring and control and sensor fusion for use within this versatile global control platform implementing PAT. Smart sensors will be investigated that match existing offline solutions in performance while enabling size reductions, low power consumption, low unit costs, low maintenance costs and data fusion.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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