Prediction of Water Pipe Asset Life Using Neural Networks

D. Achim; F. Ghotb; K. J. McManus

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Prediction of Water Pipe Asset Life Using Neural Networks

机译：基于神经网络的水管资产寿命预测

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This paper describes investigations into a development of a new application of neural networks (NN) for prediction of pipeline failure. Results show higher correlations with recorded data when compared with the two existing statistical models. The shifted time power model gives results in total number of failures and the shifted time exponential model gives results in number of failures per year. The database was large but neither complete and nor fully accurate. Factors influencing pipeline deterioration were missing from the database. Using the NN technique on this database produced models of pipeline failure, in terms of failures/km/year, that more closely matched the number of failures of a particular asset recorded for the period.

机译：本文介绍了对预测管道故障的神经网络（NN）的新应用程序开发的研究。与两个现有的统计模型相比，结果显示与记录的数据具有更高的相关性。移位时间功率模型给出的故障总数结果，移位时间指数模型给出的每年故障数结果。该数据库很大，但是既不完整也不完全准确。数据库中缺少影响管道退化的因素。在该数据库上使用NN技术生成的管道故障模型（以故障/公里/年计）与该期间记录的特定资产的故障数更加匹配。

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来源
《Journal of Infrastructure Systems》 |2007年第1期|p.26-30|共5页
作者
D. Achim; F. Ghotb; K. J. McManus;
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作者单位

School of Engineering and Science, Swinburne Univ. of Technology, John St., Hawthorn, Victoria, Australia 3122;

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原文格式 PDF
正文语种 eng
中图分类建筑科学;
关键词
water pipelines; neural networks; statistics; predictions;

机译：输水管道;神经网络;统计;预测;

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1. Discussion of 'Prediction of Water Pipe Asset Life Using Neural Networks' by D. Achim, F. Ghotb, and K. J. McManus [J] . Osama Moselhi, Mohamed Fahmy Journal of Infrastructure Systems . 2008,第3期

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2. Markov and Neural Network Models for Prediction of Structural Deterioration of Storm-Water Pipe Assets [J] . H. D. Tran, B. J. C. Perera, A. W. M. Ng Journal of Infrastructure Systems . 2010,第2期

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3. Development of Protocols and Methods for Predicting the Remaining Economic Life of Wastewater Pipe Infrastructure Assets: Phase 1 (Development of Standard Data Structure to Support Wastewater Pipe Condition and Performance Prediction) [J] . SunilKSinha Water asset management international . 2010,第1期

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7. Markov and Neural Network Models for Prediction of Structural Deterioration of Stormwater Pipe Assets [O] . Tran, Huu Dung, Perera, B. J. C, Ng, A. W. M 2010

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8. Development of a Regional Neural Network for Coastal Water Level Predictions; Journal article [R] . Huang, W., Murray, C., Kraus, N., 2003

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Prediction of Water Pipe Asset Life Using Neural Networks

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