scholarly journals On the use of a relay for Kalman filtering over packet dropping links

2013 ◽  
Author(s):  
Alex S. Leong ◽  
Daniel E. Quevedo
Keyword(s):  
Kalman Filtering ◽  
Packet Dropping

scholarly journals Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective

2010 ◽  
Vol 55 (3) ◽  
pp. 594-604 ◽  
Author(s):  
Ling Shi ◽  
Michael Epstein ◽  
Richard M. Murray
Keyword(s):  
Kalman Filtering ◽  
Packet Dropping

Delivering Sustainable Water Systems Using Kalman Filter and Statistical Approach

2017 ◽  
Vol 4 (1) ◽  
pp. 41-52
Author(s):  
Dedy Loebis
Keyword(s):  
Kalman Filtering ◽  
Statistical Approach ◽  
Water Systems ◽  
Data Sets ◽  
Pressure Data ◽  
Burst Event ◽  
Sample Data ◽  
Other Information ◽  
Supply Systems ◽  
Frequency Features

This paper presents the results of work undertaken to develop and test contrasting data analysis approaches for the detection of bursts/leaks and other anomalies within wate r supply systems at district meter area (DMA)level. This was conducted for Yorkshire Water (YW) sample data sets from the Harrogate and Dales (H&D), Yorkshire, United Kingdom water supply network as part of Project NEPTUNE EP/E003192/1 ). A data analysissystem based on Kalman filtering and statistical approach has been developed. The system has been applied to the analysis of flow and pressure data. The system was proved for one dataset case and have shown the ability to detect anomalies in flow and pres sure patterns, by correlating with other information. It will be shown that the Kalman/statistical approach is a promising approach at detecting subtle changes and higher frequency features, it has the potential to identify precursor features and smaller l eaks and hence could be useful for monitoring the development of leaks, prior to a large volume burst event.

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