Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks-Reference-Cited by-同舟云学术

Statistical Modeling in Absence of System Specific Data: Exploratory Empirical Analysis for Prediction of Water Main Breaks

Published:2019-06 Issue:2 Volume:25 Page:04019009
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Chen Thomas Ying-Jeh¹^ORCID,Beekman Jared Anthony²,David Guikema Seth³,Shashaani Sara⁴

Affiliation:

1. Doctoral Candidate, Dept. of Industrial and Operations Engineering, Univ. of Michigan, 1205 Beal Ave., Ann Arbor, MI 48109 (corresponding author). ORCID: .

2. Analyst, Innovative Decisions, 8230 Old Courthouse Rd. #460, Vienna, VA 22182.

3. Associate Professor, Dept. of Industrial and Operations Engineering, Univ. of Michigan, 1205 Beal Ave., Ann Arbor, MI 48109.

4. Assistant Professor, Dept. of Industrial and Systems Engineering, North Carolina State Univ., 111 Lampe Dr., Raleigh, NC 27607.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000482

Reference35 articles.

1. Andreou S. A. 1986. “Predictive models for pipe break failures and their implications on maintenance planning strategies for deteriorating water distribution systems.” Ph.D. dissertation Massachusetts Institute of Technology.

2. Chen T. Y.-J. J. A. Beekman and S. D. Guikema. 2017. “Drinking water distribution systems asset management: Statistical modelling of pipe breaks.” In Proc. Sessions of the Pipelines 2017: Conf. on Condition Assessment Surveying and Geomatics. Reston VA: ASCE.

3. Infrastructure Risk Analysis Model

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