Development of a Fuzzy Inference Performance Index for Ferrous Drinking Water Pipelines

作者：St Clair Alison M^*; Sinha Sunil K

来源：Journal of Pipeline Systems Engineering and Practice, 2014, 5(3): 04014003.

DOI：10.1061/(ASCE)PS.1949-1204.0000168

• Fuzzy inference
• Model prediction
• Performance index
• Water infrastructure system

Accurate prediction of water pipeline structural and functional deterioration plays an essential role in the utility asset management process and capital investment planning. A key to implementing an asset management strategy is a comprehensive understanding of asset condition and performance and how asset condition and performance change over time. The primary objective of this paper is to develop a fuzzy inference performance index for metallic drinking water pipelines. Furthermore, the developed fuzzy inference performance index is applied to the Western Virginia Water Authority (WVWA). Evaluation of the performance index is accomplished through testing of artificial, field, and lab data. Overall, the fuzzy inference performance model was successfully developed to aid in the evaluation of current drinking water infrastructure systems. The fuzzy inference performance model incorporated with an infrastructure management plan will aid in the prioritization of future inspection, repair, rehabilitation, and replacement of water mains.

• 出版日期2014-8
• 单位Virginia Tech; 美国弗吉尼亚理工大学(Virginia Tech)