Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors
Underground water pipes deteriorate under the influence of various physical, mechanical,
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
[PDF][PDF] Machine Learning based Water Pipe Failure Prediction: The Effects of Engineering, Geology, Climate and Socio-Economic Factors
X Fan, X Wang - Reliability engineering systems safety, 2022 - par.nsf.gov
Underground water pipes deteriorate under the influence of various physical, mechanical,
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors
X Fan, X Wang, X Zhang - Reliability Engineering and System …, 2022 - ideas.repec.org
Underground water pipes deteriorate under the influence of various physical, mechanical,
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
Machine learning based water pipe failure prediction: The effects of engineering, geology, climate and socio-economic factors
X Fan, X Wang, X Zhang - Reliability Engineering and …, 2022 - econpapers.repec.org
Underground water pipes deteriorate under the influence of various physical, mechanical,
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …
environmental, and social factors. Reliable pipe failure prediction is essential for a proactive …