A Leak Detection in Water Pipelines Using Discrete Wavelet Decomposition and Artificial Neural Network

Abstract

This paper proposes an ANN(Artificial Neuron Network) model to find the location of leakage in water-distribution systems. To detect the water leakage in the systems, a tethered robot with acoustic sensor is used. Leakage signal is captured using tethered acoustics. The captured acoustic signal is pre-processed using DWT (Discrete Wavelet Transform). Then, the pre-processed acoustic signal is modelled by the ANN model to detect the leak. The performance of the proposed algorithm was evaluate in a test bed which consists of a robot, a ground station and a simulated water distribution system. A robot with a hydrophone is used for captured acoustic signal in water pipes. The ground station is designed to control the robot and reports the status of leakage. In addition, the proposed framework discovers the location of the leakage. The experiment results show that the proposed model is effective for detection of water leakage in the system. The evaluation results indicates that the percent of accuracy is 100%.