Application of Neural Networks in Predicting the Remaining Useful Life of Water Pipelines-Reference-Cited by-同舟云学术

Application of Neural Networks in Predicting the Remaining Useful Life of Water Pipelines

Published:2016-07-11 Issue: Volume: Page:
ISSN:
Container-title:Pipelines 2016
language:
Short-container-title:

Author:

Zangenehmadar Z.¹²,Moselhi O.¹²

Affiliation:

1. Ph.D. Candidate, Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 1455 De Maisonneuve Blvd. W., Montreal, QC H3G 1M8.

2. Dept. of Building, Civil and Environmental Engineering, Concordia Univ., 1455 De Maisonneuve Blvd. W., Montreal, QC H3G 1M8.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/9780784479957.028

Reference16 articles.

1. Prediction of Water Pipe Asset Life Using Neural Networks

2. Condition rating model for underground infrastructure sustainable water mains;Al-Barqawi H.;J. Perform. Constr. Facil.,2006

3. Development of PCCP wire breaks prediction model using artificial neural networks;Amaitik N. M.;Proceedings of the International Pipelines Conference,2008

4. ASCE (2013). Report Card for America's Infrastructure. www.infrastructurereportcard.org (Sep. 11 2015).

5. Burn S. Davis P. and Gould S. (2009). "Risk Analysis for Pipeline Assets: The Use of Models for Failure Prediction in Plastics Pipelines" CSIRO Land and Water Highett Australia.

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