Impact of Imprecise Dating of Measurements for Bulk Material Flow Network Monitoring
09 13 Category : Applicative | All
Authors: Lionel Magnis and Nicolas Petit, 12th IFAC/IE E Conference on Programmable Devices and Embedded Systems PDeS, pp. 274-279, September 25-27 2013 DOI: 10.3182/20130925-3-CZ-3023.00070
This paper discusses the negative impact of errors in the time datation of data as they are gathered across a distributed network of sensors to be treated by a centralized monitoring algorithm. An example of flow monitoring serves as basis for the analysis. Using a simple probability model, we establish the variance of an estimator serving for loss detection and show how it varies with the time uncertainty. A mitigating solution is proposed. Further extensions are discussed.
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BibTeX:@Proceedings{,
author = {Petit, Lionel Magnis and Nicolas},
editor = {},
title = {Impact of Imprecise Dating of Measurements for Bulk Material Flow Network Monitoring},
booktitle = {12th IFAC/IE E Conference on Programmable Devices and Embedded Systems PDeS},
volume = {12},
publisher = {},
address = {},
pages = {274-279},
year = {2013},
abstract = {This paper discusses the negative impact of errors in the time datation of data as they are gathered accross a distributed newtork of sensors to be treated by a centralized monitoring algorithm. An example of flow monitoring serves as basis for the analysis. Using a simple probability model, we establish the variance of an estimator serving for loss detection and show how it varies with the time uncertainty. A mitigating solution is proposed. Further extensions are discussed.},
keywords = {Signal Processing; Industrial Programmable Controllers, Industrial PCs and PLCs; Industrial applications}}
This paper discusses the negative impact of errors in the time datation of data as they are gathered across a distributed network of sensors to be treated by a centralized monitoring algorithm. An example of flow monitoring serves as basis for the analysis. Using a simple probability model, we establish the variance of an estimator serving for loss detection and show how it varies with the time uncertainty. A mitigating solution is proposed. Further extensions are discussed.
Download PDF
BibTeX:@Proceedings{,
author = {Petit, Lionel Magnis and Nicolas},
editor = {},
title = {Impact of Imprecise Dating of Measurements for Bulk Material Flow Network Monitoring},
booktitle = {12th IFAC/IE E Conference on Programmable Devices and Embedded Systems PDeS},
volume = {12},
publisher = {},
address = {},
pages = {274-279},
year = {2013},
abstract = {This paper discusses the negative impact of errors in the time datation of data as they are gathered accross a distributed newtork of sensors to be treated by a centralized monitoring algorithm. An example of flow monitoring serves as basis for the analysis. Using a simple probability model, we establish the variance of an estimator serving for loss detection and show how it varies with the time uncertainty. A mitigating solution is proposed. Further extensions are discussed.},
keywords = {Signal Processing; Industrial Programmable Controllers, Industrial PCs and PLCs; Industrial applications}}