Design of a pipeline leakage detection using expert system: A novel approach

Applied Soft Computing Journal

Volumn 11, Issue 1, 2011, Pages 1057-1066

  Laurentys, C A ^a   Bomfim, C H M ^b   Menezes, B R ^a   Caminhas, W M ^a  

^a FEDERAL UNIVERSITY OF MINAS GERAIS   (Brazil)

^b PETROBRAS   (Brazil)

Author keywords

Ensembles; Fault detection; Fuzzy systems; Neural Networks

Indexed keywords

BRAZILIAN PETROLEUM; BUSINESS RULES; ENSEMBLES; HIGH RELIABILITY; LEGAL REQUIREMENTS; PIPELINE LEAKAGE; PIPELINE LEAKAGE DETECTION; STATISTIC ANALYSIS;

EXPERT SYSTEMS; FAULT DETECTION; FUZZY LOGIC; FUZZY SETS; PIPELINES; REAL TIME SYSTEMS;

FUZZY NEURAL NETWORKS;

EID: 77957899141     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2010.02.005     Document Type: Article

References (39)

1. W. Al-Rafai, and R.J. Barnes Underlying the performance of real-time software-based pipeline leak-detection systems Pipes & Pipeline International November-December, 1999 44 51
2. API1130, API Publication Number 1130, Computational Pipeline Monitoring, American Petroleum Institute, Manufacturing, Distribution and Marketing Department (October, 1995).
3. API1155, API Publication Number 1155, Evaluation Methodology for Software-based Leak Detection Systems. American Petroleum Institute, Manufacturing, Distribution and Marketing Department (February, 1995).
4. API346, API Publication Number 346, Results of Range-finding Testing of Leak Detection and Leak Location Technologies for Underground Pipelines, American Petroleum Institute (November 1998).
5. W.M. Caminhas Estratégias de Detecão e Diagnósticos de Falhas em Sistemas Dinâmicos 1997 Universidade Estadual de Campinas Campinas, SP
6. C.L. de Almeida, A.P. Braga, S. Nascimento, V. Paiva, H. Martins, R. Torres, and W. Caminhas Intelligent thermographic diagnostic applied to surge arresters: a new approach IEEE Transactions on Power Delivery 24 April 2 2009 751 757
7. S. Gayaka, B. Yao, and P. Meckl Fault detection for nonlinear systems in presence of input unmodeled dynamics Advanced intelligent mechatronics, International Conference on IEEE/ASME 2007 1 5
8. J.J. Gertler Fault Detection and Diagnosis in Engineering Systems 1998 Marcel-Dekker Switzerland
9. In: F.A. Gonzalez, D. Dasgupta (Eds.), An immunogenetic technique to detect anomalies in network traffic. Proceedings of the Genetic and Evolutionary Computation Conference (2002).
10. L.K. Hansen, and P. Salamon Neural network ensembles IEEE Transactions on Pattern Analysis and Machine Intelligence 12 October 10 1990 993 1001
11. S. Haykin Neural Networks: A Comprehensive Foundation 1999 Prentice-Hall, Inc New Jersey
12. R. Isermann Process fault detection based on modeling and estimation methods - a survey Automatica 20 4 1984 387 404
13. R. Isermann Supervision, fault-detection and fault-diagnosis methods - an introduction Control Engineering Practice 5 5 1997 639 652
14. R. Kalapatapu What users need when they select, design, implement a SCADA system INTECH International Journal for Measurement Control 50 December, 2003 31 33
15. D.L. Lemmon How colonial pipeline recovered from a devastating spill and set new industry standard Pipeline & Gas Journal October, 2003 20 26
16. In: W. Ligang, H. Daniel (Eds.), Fuzzy filter design for it stochastic systems with application to sensor fault detection, IEEE Transactions on Fuzzy Systems (2009).
17. L. Ljung System Identification Theory for the User 1987 Prentice-Hall, Inc. USA
18. M. Lorenzetti, Pipeline safety bill approved amid energy bill debate (July, 2002).
19. G.F. Luger Artificial Intelligence: Structures and Strategies for Complex Problem Solving 2002 Pearson Education Limited England
20. J.L. Modisette, J.P. Modisette, Transient and Succession-of-steady-states Pipeline Flow Models, Publication, Energy Solutions International Inc. http://www.energy-solutions.com/articles/model%20dynamics0108.pdf, (1998).
21. M.J. Nash, D. Hovey, and E.J. Farmer Pipeline leak detection at bp's northstar facility Pipes & Pipelines International September-October, 2003 5 11
22. M.J. Nash, F. Ragan, D. Hovey, and E.J. Farmer Maximising potential World Pipelines January-February 1 2003 45 49
23. J.P.P. Neto Modelagem dinâmica em redes de escoamento compressível para aplicaões detecão de vazamentos em tempo real Boletim Técnico PETROBRAS 2 45 2002 128 159
24. I. Omni, Flow computer, Configuration and Advanced Operation, 3.
25. R. Patton, P. Frank, and R. Clark Fault Diagnosis in Dynamic Systems 1989 Prentice-Hall Hertfortshire 4RG
26. W. Perich, D.L. van Oostendorp, P. Puente, and N.D. Strike Integrated data approach to pipeline integrity management Pipeline & Gas Journal October, 2003 28 32
27. R.H. Perry, and C.H. Chilton Chemical Engineers' Handbook 1973 McGraw-Hill, Inc. USA Ch. 5
28. J. Pikas Where to dig is the key question in integrity rule compliance Pipeline & Gas Journal March, 2004 36 42
29. PUB1113, API Publication Number 1113, Developing a Pipeline Supervisory Control Center. American Petroleum Institute (1995).
30. H.L.Resnikoff, Jr., R.O.W., 1998. Wavelet Analysis. Springer-Verlag Inc., New York, USA.
31. R.J. Schalkoff Pattern Recognition: Statistical. Structural and Neural Approaches 1992 John Wiley and Sons Inc. USA
32. S. Simani, C. Fantuzzi, and S. Beghelli Diagnosis techniques for sensor faults of industrial process IEEE Transactions on Control Systems Technology 8 September 5 2000 818 855
33. B. Tindeli, and D.J. Zhang Liquid pipeline detection: the ESSO experience Pipeline & Gas Journal February, 2004 40 42
34. W.R. True, Regulations, technologies aim at safer, more reliable pipeline systems, January, 2002.
35. V. Venkatasubramanian, R. Rengaswamy, K. Yin, and S.N. Kavuri A review of process detection and diagnosis, part I, II and III Computers & Chemical Engineering 1 27 2003 293 346
36. R.S. Whaley, R.E. Nicholas, J.D.V. Reet, Tutorial on software based leak detection techniques. Tutorial, Pipeline Simulation Interest Group. http://www.psig.org/9204.pdf (October, 1992)
37. In: D. Xuewu, L. Guangyuan, L. Zhengji (Eds.), Discrete-time Robust Fault Detection Observer Design: A Genetic Algorithm Approach June, 2008.
38. L. Zadeh Fuzzy sets Information & Control 8 8 1965 338 353
39. F. Zidani, D. Diallo, M. El Hachemi Benbouzid, and R. Nait-Said A fuzzy-based approach for the diagnosis of fault modes in a voltage-fed PWM inverter induction motor drive IEEE Transactions on Industrial Electronics 55 February 2 2008 586 593