Leak Detection and Location of Water Pipes Using Vibration Sensors and Modified ML Prefilter
AbstractThis paper proposes a new leak detection and location method based on vibration sensors and generalised cross-correlation techniques. Considering the estimation errors of the power spectral densities (PSDs) and the cross-spectral density (CSD), the proposed method employs a modified maximum-likelihood (ML) prefilter with a regularisation factor. We derive a theoretical variance of the time difference estimation error through summation in the discrete-frequency domain, and find the optimal regularisation factor that minimises the theoretical variance in practical water pipe channels. The proposed method is compared with conventional correlation-based techniques via numerical simulations using a water pipe channel model, and it is shown through field measurement that the proposed modified ML prefilter outperforms conventional prefilters for the generalised cross-correlation. In addition, we provide a formula to calculate the leak location using the time difference estimate when different types of pipes are connected. View Full-Text
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Choi, J.; Shin, J.; Song, C.; Han, S.; Park, D.I. Leak Detection and Location of Water Pipes Using Vibration Sensors and Modified ML Prefilter. Sensors 2017, 17, 2104.
Choi J, Shin J, Song C, Han S, Park DI. Leak Detection and Location of Water Pipes Using Vibration Sensors and Modified ML Prefilter. Sensors. 2017; 17(9):2104.Chicago/Turabian Style
Choi, Jihoon; Shin, Joonho; Song, Choonggeun; Han, Suyong; Park, Doo I. 2017. "Leak Detection and Location of Water Pipes Using Vibration Sensors and Modified ML Prefilter." Sensors 17, no. 9: 2104.
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