Comparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure-Reference-Cited by-同舟云学术

Comparison of Statistical Models for Predicting Pipe Failures: Illustrative Example with the City of Calgary Water Main Failure

Published:2015-11 Issue:4 Volume:6 Page:04015005
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Kimutai E.¹,Betrie G.²,Brander R.³,Sadiq R.⁴,Tesfamariam S.⁵

Affiliation:

1. M.Sc. Student, School of Engineering, Univ. of Nairobi, Nairobi 00100, Kenya.

2. Ph.D. Candidate, School of Engineering, Univ. of British Columbia, Kelowna, Canada V1V 1V7.

3. Engineering Technical Head, Infrastructure Planning, City of Calgary, Calgary, Canada T2P 2M5.

4. Professor, School of Engineering, Univ. of British Columbia, Kelowna, Canada V1V 1V7.

5. Associate Professor, School of Engineering, Univ. of British Columbia, Kelowna, Canada V1V 1V7 (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29PS.1949-1204.0000196

Reference56 articles.

1. Akaike H. (1973). “Information theory and an extension of the maximum likelihood principle.” Breakthroughs in statistics Vol. 1 Springer New York 610–624.

2. Andreou S. (1986). “Predictive models for pipe break failures and their implications on maintenance planning strategies for deteriorating water distribution systems.” Ph.D. thesis Massachusetts Institute of Technology Cambridge MA.

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

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

5. Development of pipe deterioration models for water distribution systems using EPR

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