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Development of Methods for Diagnosing the Operating Conditions of Water Supply Networks over the Last Two Decades. WATER 2022. [DOI: 10.3390/w14050786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
The need for water supply companies to exercise control over the operating conditions of water supply networks has contributed to the development of a number of methods for their diagnosis. The diagnostics of technical infrastructure is a constantly developing field, and therefore, over the years, we have observed the development of various methods of diagnosing network operating conditions and their classification. The article presents, in a synthetic way, the division and review of the previously used methods of diagnosing the operating conditions of water supply networks. The authors also classified and assessed the usefulness of the methods of diagnosis in specific operating conditions. The review carried out by the authors shows that there is a need for research on the detection of operating conditions of water supply networks under the operating conditions of real systems. The results of our deep analysis allow for the understanding of the most important areas of research, as well as the existing worldwide trends in the development of methods for leak diagnosis and detection in water distribution networks. This review is a compendium of knowledge on the detection and diagnosis of water supply networks.
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Guo W, Liu C, Wang L. Temperature fluctuation on pipe wall induced by gas–liquid flow and its application in flow pattern identification. Chem Eng Sci 2021. [DOI: 10.1016/j.ces.2021.116568] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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Wang H, Tang M, Wang D, Liu Y, Zhang Y, Hu B, Wang R, Zhang S. Flow characteristics of blade unit of a tridimensional rotational flow sieve tray under concurrent gas–liquid flow. AIChE J 2020. [DOI: 10.1002/aic.16454] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Hongkai Wang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Meng Tang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
- School of Mechanical EngineeringHebei University of Technology Tianjin China
| | - Dewu Wang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Yan Liu
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Yishuo Zhang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Baisong Hu
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Ruojin Wang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
| | - Shaofeng Zhang
- School of Chemical Engineering and TechnologyHebei University of Technology Tianjin China
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Affiliation(s)
- Xiaodi Hao
- Beijing University of Civil Engineering and Architecture (BUCEA), China.
| | - Guanghao Chen
- The Hong Kong University of Science and Technology (HKUST), China.
| | - Zhiguo Yuan
- The University of Queensland (UQ), Australia.
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