Original paper
Combining recorded failures and expert opinion in the development of ANN pipe failure prediction models
Volume: 8, Issue: 1, Pages: 86 - 108
Published: Jul 14, 2020
Abstract
Buried pipes comprise a significant portion of assets of a water utility. With time, these pipes inevitably fail. Failure prediction enables infrastructure managers to estimate long-term failure trends for budgetary planning purposes and identify critical pipes for preventive intervention planning. For short-term prioritization, machine learning based algorithms appear to have superior predictive performance compared to traditional survival...
Paper Details
Title
Combining recorded failures and expert opinion in the development of ANN pipe failure prediction models
Published Date
Jul 14, 2020
Volume
8
Issue
1
Pages
86 - 108