MONITORING OF THE HYDROTECHNICAL TORRENT CONTROL STRUCTURES: A STATISTICAL APPROACH

2010 ◽  
Vol 9 (12) ◽  
pp. 1699-1707 ◽  
Author(s):  
Ioan Clinciu ◽  
Ion-Catalin Petritan ◽  
Mihai-Daniel Nita
Keyword(s):  
Statistical Approach ◽  
Control Structures ◽  
Torrent Control Structures

PHYSICAL STATUS OF TORRENT CONTROL STRUCTURES IN ROMANIA

2020 ◽  
Vol 19 (5) ◽  
pp. 861-872
Author(s):  
Serban Octavian Davidescu ◽  
Alin-Lucian Mihalache ◽  
Mirabela Marin ◽  
Cezar Ungurean ◽  
Andrei Adorjani ◽  
...  
Keyword(s):  
Physical Status ◽  
Control Structures ◽  
Torrent Control Structures

MAGNITUDE OF DAMAGE EVENTS ON HYDROTECHNICAL TORRENT CONTROL STRUCTURES

2015 ◽  
Vol 14 (1) ◽  
pp. 57-71
Author(s):  
Ioan Clinciu ◽  
Ion-Catalin Petritan ◽  
Mihai-Daniel Nita
Keyword(s):  
Control Structures ◽  
Torrent Control Structures

scholarly journals Screening LCA of torrent control structures in Austria

2018 ◽  
Vol 24 (1) ◽  
pp. 129-141 ◽  
Author(s):  
Roman Paratscha ◽  
Magdalena von der Thannen ◽  
Roman Smutny ◽  
Thomas Lampalzer ◽  
Alfred Strauss ◽  
...  
Keyword(s):  
Control Structures ◽  
Screening Lca ◽  
Torrent Control Structures

scholarly journals Development of LCA benchmarks for Austrian torrent control structures

2019 ◽  
Vol 24 (11) ◽  
pp. 2035-2053
Author(s):  
Roman Paratscha ◽  
Magdalena Von Der Thannen ◽  
Roman Smutny ◽  
Thomas Lampalzer ◽  
Alfred Strauss ◽  
...  
Keyword(s):  
Control Structures ◽  
Torrent Control Structures

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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