Title :
Novel leak detection system for pipe type cable installations
Author :
Tylman, Wojciech ; Anders, George J. ; Ghafurian, Reza
Author_Institution :
Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Poland
fDate :
7/1/2006 12:00:00 AM
Abstract :
This paper presents a new application of modern numerical algorithms, such as neural and probabilistic networks, for monitoring pressure system installations. Theoretical background as well as custom implementation of the algorithms is presented, and a complete system for monitoring high-pressure, fluid-filled (HPFF) cables is described.
Keywords :
computerised monitoring; electric conduits; high-pressure techniques; installation; leak detection; neural nets; numerical analysis; power engineering computing; probability; high-pressure fluid-filled cables monitoring; leak detection system; neural networks; numerical algorithms; pipe type cable installation; probabilistic networks; Cables; Cities and towns; Corrosion; Costs; Dielectrics; Leak detection; Monitoring; Neural networks; Pumps; Urban areas; Dielectric fluid leak detection; neural networks; pipe type cables; probabilistic networks;
Journal_Title :
Power Delivery, IEEE Transactions on
DOI :
10.1109/TPWRD.2006.874657
