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Data · dataset · 2024

Simulation for data-driven sensor delay estimation in industrial processes using multivariate projection methods

Listed in Teesside University Research Data Repository

Source code and results for exactly regenerating the data and results of the simulation study reported in (to be published).

Description

Industrial sensory data is simulated and subjected to several data-driven methods for estimating temporal delays between the sensors. A new method is proposed to estimate these delays by optimizing multivariate correlations, and is shown to be more accurate than the currently more standard method that optimizes bivariate correlations.

Updated on March 13th, 2024.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Process control and simulation 77% · Simulation 75%
Provenance · 1 source records, 13 field assertions
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Teesside University Research Data Repositoryoai:data.mendeley.com/32hv69mnj6.59 d agoJSON v1
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