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chipeng csu
(21 results)?
Real-Time Water Distribution System Hydraulic Modeling Using Prior Demand Information by Formal Bayesian Approach.
J Water Resour Plan Manag. 2019;145(12):10.1061/(asce)wr.1943-5452.0001137. doi: 10.1061/(asce)wr.1943-5452.0001137.
J Water Resour Plan Manag. 2019.
PMID: 33623182
Free PMC article.
Modeling of truncated normal distribution for estimating hydraulic parameters in water distribution systems: taking nodal water demand as an example.
Shao Y, Li K, Zhang T, Yang YJ, Chu S.
Shao Y, et al. Among authors: chu s.
J Hydroinform. 2023 Sep 1;25(5):2053-2068. doi: 10.2166/hydro.2023.250.
J Hydroinform. 2023.
PMID: 38357631
Free PMC article.
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Time-Series-Based Leakage Detection Using Multiple Pressure Sensors in Water Distribution Systems.
Shao Y, Li X, Zhang T, Chu S, Liu X.
Shao Y, et al. Among authors: chu s.
Sensors (Basel). 2019 Jul 11;19(14):3070. doi: 10.3390/s19143070.
Sensors (Basel). 2019.
PMID: 31336795
Free PMC article.
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Numerical approach for water distribution system model calibration through incorporation of multiple stochastic prior distributions.
Chu S, Zhang T, Shao Y, Yu T, Yao H.
Chu S, et al.
Sci Total Environ. 2020 Mar 15;708:134565. doi: 10.1016/j.scitotenv.2019.134565. Epub 2019 Nov 23.
Sci Total Environ. 2020.
PMID: 31806332
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A noise adaptive approach for nodal water demand estimation in water distribution systems.
Chu S, Zhang T, Yu T, Wang QJ, Shao Y.
Chu S, et al.
Water Res. 2021 Mar 15;192:116837. doi: 10.1016/j.watres.2021.116837. Epub 2021 Jan 13.
Water Res. 2021.
PMID: 33485266
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A Greedy Sampling Design Algorithm for the Modal Calibration of Nodal Demand in Water Distribution Systems.
Shao Y, Chu S, Zhang T, Yang YJ, Yu T.
Shao Y, et al. Among authors: chu s.
Environ Model Softw. 2019 Feb 21;2019:1-3917571. doi: 10.1155/2019/3917571.
Environ Model Softw. 2019.
PMID: 32831618
Free PMC article.
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