Real Time Leak Detection System Applied to Oil Pipelines Using Sonic Technology and Neural Networks

被引：14

作者：

Avelino, Alvaro M. ^{[1
]}

de Paiva, Jose A. ^{[2
]}

da Silva, Rodrigo E. F. ^{[1
]}

de Araujo, Gabriell J. M. ^{[1
]}

de Azevedo, Fabiano M. ^{[1
]}

Quintaes, Filipe de O. ^{[1
]}

Maitelli, Andre L. ^{[1
]}

Neto, Adriao D. D. ^{[1
]}

Salazar, Andres O. ^{[1
]}

机构：

[1] Univ Fed Rio Grande do Norte, Dept Comp Eng & Automat, BR-59072970 Natal, RN, Brazil

[2] Fed Inst Sci & Technol, Dept Informat Technol, Natal, RN, Brazil

来源：

IECON: 2009 35TH ANNUAL CONFERENCE OF IEEE INDUSTRIAL ELECTRONICS, VOLS 1-6 | 2009年

关键词：

D O I：

10.1109/IECON.2009.5415324

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This work proposes a leak detection system using sonic technology, wavelet transform and neural networks to decompose and analyze pressure signals from oil pipelines in real time. The similarity between pressure and sound signals makes it possible to treat the first through digital filtering and wavelet decomposition together with a neural network to characterize and classify leak profiles. The leak detection system logic is embedded on 32 bit/150 MHz floating point DSPs. This system uses piezoresistive sensors, converters to the communication interface (Ethernet) and GPS devices, which are responsible for synchronizing reports and leak alarms. The DSPs code was written using ANSI C language.

引用

页码：1984 / +

页数：3

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