While it is difficult to detect target signals, on-line monitoring remains the most reliable method to protect underground pipelines from the third party damage. To distinguish signals from a variety of white noises during remote pipelines monitoring, it is necessary to filter signals from unanticipated noise and to find co-relation among signals. In this paper, an on-line monitoring system based on local area network (LAN) is developed not only to detect a damage occurrence but also to find its location along the pipelines. For this purpose, an acoustic wave propagation model is generated along the gas pipelines, and signals based on the model are compared with experimental data. In modeling the wave propagation, auto power spectral density (APSD) and cross power spectral density (CPSD) processing methods are applied to distinguish damage signals from noises. To locate the damage point on the pipelines, signals from three different piezoelectric accelerometers are monitored, and compared with those from the proposed model. From the experiments, the number of sensors should be determined in accordance with the attenuation coefficient of signal. Also, the proposed scheme which combines APSD and CPSD processing methods is proved to be powerful in practical applications.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.