Machine learning approach to transient-based leak detection of pressurized pipelines: Classification vs Regression
Author:
Publisher
Springer Science and Business Media LLC
Subject
Safety, Risk, Reliability and Quality,Civil and Structural Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13349-022-00568-2.pdf
Reference72 articles.
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3. Tang X, Liu Y, Zheng L, Ma C, Wang H (2009) Leak detection of water pipeline using wavelet transform method. In: Paper presented at the 2009 international conference on environmental science and information application technology, vol 2, pp 217–220
4. Chunli F, Fengrui S, Li Y (2005) Investigation on nondestructive evaluation of pipelines using infrared thermography. In: Paper presented at the 2005 joint 30th international conference on infrared and millimeter waves and 13th international conference on terahertz electronics, vol 2, pp 339–340
5. Abouhamad M, Zayed T, Moselhi O (2016) Leak detection in buried pipes using ground penetrating radar: a comparative study. In: Pipelines 2016, pp 417–424
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