Detection & estimation algorithms for in-pipe leak detection

Leakage is the most important factor for unaccounted losses in any pipe network around the world. However, most state of the art leak detection systems have limited applicability, lack in reliability and/or depend on user experience for data interpretation. In this paper we present a new, autonomous, in-pipe, leak detection system. The detection principle is based on the presence of a pressure gradient in the neighborhood of a leak in a pressurized pipe. This phenomenon is translated into force measurements via a carefully designed and instrumented mechanical embodiment (MIT Leak Detector). We then introduce a detection and estimation scheme. The latter one allows not only for the reliable detection, but also for the estimation of the incidence angle and the magnitude of the forces that are associated with the leak. Finally, a prototype is built and experiments in pipes are conducted to demonstrate the efficacy of the proposed methodology.