Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/102560
| Title: | Accuracy and sensitivity evaluation of TFR method for leak detection in multiple-pipeline water supply systems | Authors: | Duan, HF | Issue Date: | Apr-2018 | Source: | Water resources management, Apr. 2018, v. 32, no. 6, p. 2147-2164 | Abstract: | The transient frequency response (TFR) based pipe leak detection method has been developed and applied to water pipeline systems with different connection complexities such as branched and looped pipe networks. Previous development and preliminary applications have demonstrated the advantages of high efficiency and non-intrusion for this TFR method. Despite of the successful validations through extensive numerical applications in the literature, this type of method has not yet been examined systematically for its inherent characteristics and application accuracy under different system and flow conditions. This paper investigates the influences of the analytical approximations and assumptions originated from the method development process and the impacts of different uncertainty factors in practical application systems on the accuracy and applicability of the TFR method. The influence factors considered for the analysis contain system properties, derivation approximations and data measurement, and the pipeline systems used for the investigation include simple branched and looped multi-pipe networks. The methods of analytical analysis and numerical simulations are adopted for the investigation. The accuracy and sensitivity of the TFR method is evaluated for different factors and system conditions in this study. The results and findings are useful to understand the validity range and sensitivity of the TFR-based method, so as to better apply this efficient and non-intrusive method in practical pipeline systems. | Keywords: | Leak detection Sensitivity analysis Transient frequency response (TFR) Water pipeline system |
Publisher: | Springer | Journal: | Water resources management | ISSN: | 0920-4741 | EISSN: | 1573-1650 | DOI: | 10.1007/s11269-018-1923-7 | Rights: | © Springer Science+Business Media B.V., part of Springer Nature 2018 This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use(https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s11269-018-1923-7. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Duan_Accuracy_Sensitivity_Evaluation.pdf | Pre-Published version | 1.51 MB | Adobe PDF | View/Open |
Page views
109
Last Week
5
5
Last month
Citations as of Nov 9, 2025
Downloads
102
Citations as of Nov 9, 2025
SCOPUSTM
Citations
52
Citations as of Dec 19, 2025
WEB OF SCIENCETM
Citations
49
Citations as of Dec 18, 2025
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.



