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Shock and Vibration
Volume 2015 (2015), Article ID 165304, 13 pages
http://dx.doi.org/10.1155/2015/165304
Research Article

Automatic Leak Detection in Buried Plastic Pipes of Water Supply Networks by Means of Vibration Measurements

1Advanced Applications in Mechanical Engineering & Materials Technology, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
2Department of Engineering for Industry, University of Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy

Received 27 October 2014; Accepted 5 January 2015

Academic Editor: Kenneth J. Loh

Copyright © 2015 Alberto Martini et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • Alberto Martini, Marco Troncossi, and Alessandro Rivola, “Leak Detection in Water-Filled Small-Diameter Polyethylene Pipes by Means of Acoustic Emission Measurements,” Applied Sciences, vol. 7, no. 1, pp. 2, 2016. View at Publisher · View at Google Scholar
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  • Abu Hena Muntakim, Ashutosh Sutra Dhar, and Rajib Dey, “Interpretation of acoustic field data for leak detection in ductile iron and copper water-distribution pipes,” Journal of Pipeline Systems Engineering and Practice, vol. 8, no. 3, 2017. View at Publisher · View at Google Scholar
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  • Alberto Martini, Marco Troncossi, and Alessandro Rivola, “Vibroacoustic measurements for detecting water leaks in buried small-diameter plastic pipes,” Journal of Pipeline Systems Engineering and Practice, vol. 8, no. 4, 2017. View at Publisher · View at Google Scholar
  • Chao-Chih Lin, “A Hybrid Heuristic Optimization Approach for Leak Detection in Pipe Networks Using Ordinal Optimization Approach and the Symbiotic Organism Search,” Water, vol. 9, no. 11, pp. 812, 2017. View at Publisher · View at Google Scholar
  • Cheremnov, Faerman, Avramchuk, and Shepetovsky, “The leak location package for assessment of the time-frequency correlation method for leak location,” Journal of Physics: Conference Series, vol. 803, no. 1, 2017. View at Publisher · View at Google Scholar
  • Samer El-Zahab, Eslam Mohammed Abdelkader, and Tarek Zayed, “An accelerometer-based leak detection system,” Mechanical Systems and Signal Processing, vol. 108, pp. 276–291, 2018. View at Publisher · View at Google Scholar
  • Silvia J. Ocaña-Levario, Elizabeth P. Carreño-Alvarado, David Ayala-Cabrera, and Joaquín Izquierdo, “GPR image analysis to locate water leaks from buried pipes by applying variance filters,” Journal of Applied Geophysics, 2018. View at Publisher · View at Google Scholar
  • Konstantinos Marmarokopos, Dimitrios Doukakis, George Frantziskonis, and Markos Avlonitis, “Leak Detection in Plastic Water Supply Pipes with a High Signal-to-Noise Ratio Accelerometer,” Measurement and Control, pp. 002029401875852, 2018. View at Publisher · View at Google Scholar
  • Dongying Han, Xiao Su, and Peiming Shi, “Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD,” Shock and Vibration, vol. 2018, pp. 1–15, 2018. View at Publisher · View at Google Scholar