Laboratory investigation of a multiple-model state estimation scheme for detection and isolation of leaks in pipelines

Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

Volumn 220, Issue 1, 2006, Pages 1-13

  Khulief, Y A ^a   Emara Shabaik, H E ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Kalman filter; Leak isolation; Pipeline fluid flow; Pipeline leak detection

Indexed keywords

CONDITION MONITORING; HEALTH HAZARDS; KALMAN FILTERING; LEAK DETECTION; PETROLEUM INDUSTRY; PIPELINES; REAL TIME SYSTEMS;

LEAK ISOLATION; PIPELINE FLUID FLOW; PIPELINE LEAK DETECTION;

STATE ESTIMATION;

EID: 33645211350     PISSN: 09596518     EISSN: 09596518     Source Type: Journal    
DOI: 10.1243/095965105X77394     Document Type: Article

References (26)

1. Brones, H. H. and Schaffhaussen, H. European methods of leak detection and location. Pipeline Industry, May 1972, 50-66.
2. Scott, S. L. and Barrufet, M. A. Worldwide assessment of industry leak detection capabilities for single and multiphase pipelines. TR 1435-01-99-CA-31003, Offshore Technology Research Center, University of Texas at Austin, August 2003.
3. De Read, J. R. Comparison between ultrasonic and magnetic flux pigs for pipeline inspection. Pipes and Pipeline Int., January-February 1987, 7-15.
4. Liou, J. C. P. and Tian, J. Leak detection: a transient flow simulation approach. Trans. ASME, Pipeline Engng, 1994, PD-Vol. 60, 51-58.
5. Wilsky, A. S. A survey of design methods for failure detection systems. Automatica, 1976, 12, 601-611.
6. Siebert, H. A simple method for detection and locating leaks in gas pipeline. Process Automn, 1981, 2, 90-95.
7. Isermann, R. Process fault detection based on modeling and estimation methods - a survey. Automatica, 1984, 20, 387-404.
8. Billmann, L. and Isermann, R. Leak detection methods for pipelines. Automatica, 1987, 23(3), 381-385.
9. Isermann, R. and Freyermuth, B. Process fault diagnosis based on process model knowledge - Part I: principles for fault diagnosis with parameter estimation. J. Dynamic Systems, Measmt, and Control, December 1991, 113, 620-626.
10. Isermann, R. Process fault diagnosis with parameter estimation methods. In Seventh IFAC/IFIP Conference on Digital computer applications, Vienna, Austria, 1985, pp. 51-60.
11. Wang, G., Dong, D., and Fang, C. Leak detection for transport pipelines based on autoregressive modeling. IEEE Trans. Instrum. Measmt, February 1993, 42(1), 68-71.
12. Jones, H. L. Failure detection in linear systems. PhD Dissertation, Department of Aeronautics and Astronautics, MIT, Cambridge, Massachusetts, September 1973.
13. Mehra, R. K. and Peschon, J. An innovations approach to fault detection and diagnosis in dynamic systems. Automatica, 1971, 7, 637-640.
14. Willsky, A. S. and Jones, H. L. A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems. IEEE Trans. Autom. Control, 1976, AC-21, 108-112.
15. Willsky, A. S. Failure detection in dynamic systems. AGARD, 1980, 109.
16. Billmann, L. and Isermann, R. Leak detection methods for pipelines. Automatica, 1987, 23(3), 381-385.
17. Loparo, K. A., Buchner, M. R., and Vasudeva, K. S. Leak detection in an experimental heat exchanger process: a multiple model approach. IEEE Trans. Autom. Control, 1991, 36, 167-177.
18. Poulakis, Z., Valougeorgis, D., and Papadimitriou, C. Leakage detection in water pipe networks using a Bayesian probabilistic framework. Probabilistic Engng Mechanics, October 2003, 18(4), 315-327.
19. Kingsley, E., Abhulimen, and Susu, A. A. Liquid pipeline leak detection system: model development and numerical simulation. Chem. Engng J., 15 January 2004, 97(1), 47-67.
20. Verde, C. Accommodation of multi-leak location in a pipeline. Control Engng Practice, August 2005, 13(8), 1071-1078.
21. Emara-Shabaik, H. E., Khulief, Y. A., and Hussaini, I. A non-linear multiple-model state estimation scheme for pipeline leak detection and isolation. Proc. Instn Mech. Engrs, Part I: J. Systems and Control Engineering, 2002, 216(16), 497-512.
22. Emara-Shabaik, H. E., Khulief, Y., and Hussaini, I. Simulation of transient flow in pipelines for computer-based operations monitoring. Int. J. Numer. Meth. Fluids, 2004, 44, 257-275.
23. Belsito, S., Lombardi, P., Andreussi, P., and Banerjee, S. Leak detection in liquified gas pipelines by artificial neural networks. Am. Inst. Chem. Engrs J., 1998, 44(2), 2675-2687.
24. Bentley, J. P. Principles of measurement systems, 3rd edition, 1995 (Longman, London).
25. Caputo, A. C. and Pelagagge, P. M. An inverse approach for piping networks monitoring. J. Loss Prevention in the Process Industries, November 2002, 15(6), 497-505.
26. Buzzi, S., Conte, E., De Maio, A., and Lops, M. Optimum diversity detection over fading dispersive channels with non-Gaussian noise. IEEE Trans. Signal Processing, 2001, 49(4), 767-776.