Leveraging Hydraulic Cyber-Monitoring Data to Support Primitive Condition Assessment of Water Mains-Reference-Cited by-同舟云学术

Leveraging Hydraulic Cyber-Monitoring Data to Support Primitive Condition Assessment of Water Mains

Published:2021-11 Issue:4 Volume:12 Page:04021054
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Momeni Ahmad¹^ORCID,Piratla Kalyan R.²

Affiliation:

1. Ph.D. Student and Graduate Research Assistant, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634 (corresponding author). ORCID: .

2. Liles Associate Professor, Glenn Dept. of Civil Engineering, Clemson Univ., Clemson, SC 29634.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000596

Reference63 articles.

1. Abdelhafidh M. M. Fourati L. C. Fourati and A. Abidi. 2018. “Remote water pipeline monitoring system IoT-based architecture for new industrial era 4.0.” In Proc. IEEE/ACS Int. Conf. on Computer Systems and Applications 1184–1191. New York: IEEE. https://doi.org/10.1109/AICCSA.2017.158.

2. Abdulla M. B. R. O. Herzallah and M. A. Hammad. 2013. “Pipeline leak detection using artificial neural network: Experimental study.” In Proc. Int. Conf. on Modelling Identification and Control 328–332. New York: IEEE.

3. A pressure-based method for monitoring leaks in a pipe distribution system: A Review

4. A utility-tailored methodology for integrated asset management of urban water infrastructure

5. Inverse optimization based detection of leaks from simulated pressure in water networks. Part 2: Analysis for two leaks;Amoatey P. K.;J. Water Manage. Model.,2018

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