TY - GEN
T1 - Detection & estimation algorithms for in-pipe leak detection
AU - Chatzigeorgiou, Dimitris
AU - Youcef-Toumi, Kamal
AU - Ben-Mansour, Rached
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Estimation
KW - Fault detection/accomodation
KW - Mechanical systems/robotics
UR - http://www.scopus.com/inward/record.url?scp=84905687117&partnerID=8YFLogxK
U2 - 10.1109/ACC.2014.6859203
DO - 10.1109/ACC.2014.6859203
M3 - Conference contribution
AN - SCOPUS:84905687117
SN - 9781479932726
T3 - Proceedings of the American Control Conference
SP - 5508
EP - 5514
BT - 2014 American Control Conference, ACC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -