Estimation of the Short-Term Probability of Failure in Water Mains-Reference-Cited by-同舟云学术

Estimation of the Short-Term Probability of Failure in Water Mains

Published:2017-02 Issue:2 Volume:143 Page:04016075
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Chik Li¹,Albrecht David²,Kodikara Jayantha³

Affiliation:

1. Ph.D. Candidate, Dept. of Civil Engineering, Monash Univ., Melbourne, VIC 3800, Australia.

2. Faculty of Information Technology, Monash Univ., Melbourne, VIC 3800, Australia.

3. Professor, Dept. of Civil Engineering, Monash Univ., Melbourne, VIC 3800, Australia (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000730

Reference44 articles.

1. A new methodology for modelling break failure patterns in deteriorating water distribution systems: Applications

2. A new methodology for modelling break failure patterns in deteriorating water distribution systems: Theory

3. BITRE (Bureau of Infrastructure Transport and Regional Economics). (2014). “Yearbook 2014: Australian infrastructure statistical report.” Canberra ACT Australia.

4. Bubtiena A. M. Elshafie A. H. and Jafaar O. (2011). “Application of artificial neural networks in modelling water networks.” IEEE 7th Int. Colloquium on Signal Processing and Its Applications (CSPA) 2011 IEEE Piscataway NJ 50–57.

5. Regression Models and Life-Tables

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