Pipeline Network Features and Leak Detection by Cross-Correlation Analysis of Reflected Waves

Author:

Beck S. B.1234,Curren M. D.1234,Sims N. D.1234,Stanway R.1234

Affiliation:

1. PhD FIMechE. Senior Lecturer, Dept. of Mechanical Engineering, The Univ. of Sheffield, Mappin St., Sheffield S1 3JD, U.K. (corresponding author).

2. MEng AMIMechE. Design Engineer, Rolls-Royce Plc, P.O. Box 31, Derby, DE24 8BJ, U.K.

3. PhD MIMechE. EPSRC Advanced Research Fellow, Dept. of Mechanical Engineering, The Univ. of Sheffield, Mappin St., Sheffield S1 3JD, U.K.

4. DPhil FIMechE. Reader, Dept. of Mechanical Engineering, The Univ. of Sheffield, Mappin St., Sheffield S1 3JD, U.K.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Water Science and Technology,Civil and Structural Engineering

Reference25 articles.

1. Liquid pipeline leak detection system: model development and numerical simulation

2. Transmission Line Modelling of Simulated Drill Strings Undergoing Water-Hammer

3. Pipeline system identification through cross-correlation analysis

4. Beck S. B. M. Wong C. C. D. and Stanway R. (2000). “Pipe network identification through signal analysis techniques.” Proc. 8th Int. Pressure Surges Conf. The Hague 547–556.

5. Leak detection methods for pipelines

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