Using neural networks to monitor piping systems

Process Safety Progress

Volumn 22, Issue 2, 2003, Pages 119-127

  Caputo, Antonio C ^a   Pelagagge, Pacifico M ^a  

^a UNIVERSITY OF L'AQUILA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

FLOW OF FLUIDS; HAZARDS; LEAKAGE (FLUID); PIPING SYSTEMS;

HAZARDOUS FLUIDS;

NEURAL NETWORKS;

HAZARDOUS MATERIAL; NEURAL NETWORK; PIPE FLOW; PIPING SYSTEM; SAFETY FACTOR;

EID: 0037830897     PISSN: 10668527     EISSN: None     Source Type: Journal    
DOI: 10.1002/prs.680220208     Document Type: Article

References (28)

1. Papadakis, G.A., "Major Hazard Pipelines: A Comparative Study of Onshore Transmission Accidents," J. of Loss Prevention in the Proc. Industries, 12, pp 91-107, 1999.
2. Papadakis, G.A., S. Porter, and J. Wettig, "EU Initiative on the Control of Major Accidents Hazards Arising from Pipelines," J. of Loss Prevention in the Proc. Industries, 12, pp 85-90, 1999.
3. Montiel, H., J.A. Vìlchez, J. Arnaldos, and J. Casal, "Historical Analysis of Accidents in the Transportation of Natural Gas," J. of Hazardous Materials, 51, pp 77-92, 1996.
4. Silk, M. and P. Carter, "A Review of Means of Pipeline Leak Detection Independent of Flow Measurements," DEPIRE Report TEC-T031-01, AEA Technology, UK, 1996.
5. Ellul, I., "Pipeline Leak Detection," The Chemical Engineer, pp 40-45, IChemE, UK, June 1989.
6. Stouffs, P. and M. Giot, "Pipeline Leak Detection Based on Mass Balance: Importance of the Packing Term," J. Loss Prevention in Process Industry, 6, 5, pp 307-312, 1993.
7. Billmann, L. and R. Isermann, "Leak Detection Methods for Pipelines," Automatica, 23, 3, pp 381-385, 1987.
8. Siebert, H., "A Simple Method for Detecting and Locating Small Leaks in Gas Pipelines," Process Automation, pp 90-95, 1981.
9. Zhang, X.J., "Statistical Methods for Detection and Localization of Leaks in Pipelines," OMAE-Volume V-B, Pipeline Technology, ASME, New York, NY, 1992.
10. Whang, G., D. Dong, and C. Fang, "Leak Detection for Transport Pipelines Based on Autoregressive Modeling," IEEE Transactions on Instrumentation and Measurements, 42, 1, pp 68-70, February 1993.
11. Parry, B., R. MacTaggart, and C. Toerper, "Compensated Volume Balance Leak Detection on a Batched LPG Pipeline," OMAE-Volume V-B, Pipeline Technology, ASME, pp 501-507, New York, NY, 1992.
12. Belsito, S., P. Lombardi, P., P. Andreussi, and S. Barerjce, "Leak Detection in Liquified Gas Pipelines by Artificial Neural Network," AIChE Journal, 44, 12, AIChE, pp 2675-2688, 1998.
13. Barjela, A., "On-line Monitoring of Water Distribution Networks," Ph.D. Thesis, University of Durham, Durham, UK, 1984.
14. Carpentier, P. and G. Cohen, "Applied Mathematics in Water Supply Network Management," Automatica, 29, 5, pp 1215-1250, 1993.
15. Powell, R.S., "On-line Monitoring for Operational Control of Water Distribution Networks," Ph.D. Thesis, University of Durham, Durham, UK, 1992.
16. Eggener, C.L. and L.B. Polkowski, "Network Models and the Impact of Modeling Assumptions," J. of the AWWA, 68, 4, April 1976.
17. Chichocki, A. and A. Barjela, "Neural Networks for Solving Linear Inequality Systems," Parallel Computing, 22, 11, pp 1455-1475, 1997.
18. Gabrys, B. and A. Barjela, "Neural Simulation of Water Systems for Efficient State Estimation," Proc. Modeling and Simulation Conf., ESM '95, Prague, pp 775-779, 1995.
19. Bargiela, A. and G. Hainsworth, "Pressure and Flow Uncertainty in Water Systems," J. of Water Resource Planning and Management, ASCE, 115, 2, pp 212-229, New York, NY, 1989.
20. Gabrys, B. and A. Barjela, "Integrated Neural-based System for State Estimation and Confidence Limit Analysis in Water Networks," Proc. European Simulation Symposium, ESS '96, Volume 2, Genoa, Italy, pp 398-402, 1996.
21. Gabrys, B. and A. Barjela, "Analysis of Uncertainties in Water Systems Using Neural Networks," Measurement + Control, 32, 5, pp 145-147, 1999.
22. Gabrys, B. and A. Barjela, "Neural Networks-based Decision Support in Presence of Uncertainties," J. of Water Resource Planning and Management, ASCE, 125, 5, pp 272-280, New York, NY, 1999.
23. Caputo, A.C. and P.M. Pelagagge, "An Inverse Approach for Piping Networks Monitoring," Journal of Loss Prevention in the Process Industries, 15, pp 497-505, 2002.
24. Roy, D.N., Applied Fluid Mechanics, Ellis Horwood Ltd., Chichester, UK, 1988.
25. Hodge, B.K. and R.P. Taylor, Analysis and Design of Energy Systems, Prentice-Hall, Englewood Cliffs, NJ, 1998.
26. Bishop, C.M., "Neural Networks and their Applications," Rev. Sci. Instrum., 65, 6, pp 1803-1832, 1994.
27. Loccufier, M., "Neural Network Techniques: A Tutorial on Interconnection, Learning and Stability, Journal A, 38, 4, pp 3-15, 1997.
28. Principe, J.C., N.R. Euliano, and W.C. Lefebvre, Neural and Adaptive Systems, John Wiley and Sons, Inc., New York, NY, 1999.