Publisher
Springer International Publishing
Reference52 articles.
1. Beck, S., Curren, M., Sims, N., & Stanway, R. (2005). Pipeline network features and leak detection by cross-correlation analysis of reflected waves. Journal of Hydraulic Engineering, 131(8), 715–723.
2. Belsito, S., Lombardi, P., Andreussi, P., & Banerjee, S. (1998). Leak detection in liquefied gas pipelines by artificial neural networks. American Institute of Chemical Engineers AIChE Journal, 44(12), 2675.
3. Brunone, B. (1999). Transient test-based technique for leak detection in outfall pipes. Journal of Water Resources Planning and Management, 125(5), 302–306.
4. Brunone, B., & Ferrante, M. (2001). Detecting leaks in pressurised pipes by means of transients. Journal of Hydraulic Research, 39(5), 539–547.
5. Burn, S., DeSilva, D., Eiswirth, M., Hunaidi, O., Speers, A., & Thornton, J. (1999). Pipe leakage-future challenges and solutions. Australia: Pipes Wagga Wagga.
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