Qiansheng Fang, Haojie Wang, Chenlei Xie*, Jie Chen
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.2, pp. 1237-1250, 2023, DOI:10.32604/cmes.2022.021131
- 31 August 2022
Abstract At present, the leakage rate of the water distribution network in China is still high, and the waste of water resources
caused by water distribution network leakage is quite serious every year. Therefore, the location of pipeline leakage
is of great significance for saving water resources and reducing economic losses. Acoustic emission technology is
the most widely used pipeline leak location technology. The traditional non-stationary random signal de-noising
method mainly relies on the estimation of noise parameters, ignoring periodic noise and components unrelated
to pipeline leakage. Aiming at the above problems, this paper proposes a… More >
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