A new fault detection and diagnosis method for oil pipeline based on rough set and neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4493 LNCS, Issue PART 3, 2007, Pages 561-569

  Liu, Jinhai ^a   Zhang, Huaguang ^a   Feng, Jian ^a   Yue, Heng ^a  

^a NORTHEASTERN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

FAILURE ANALYSIS; FAULT DETECTION; LARGE SCALE SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION; ROUGH SET THEORY;

HYBRID FAULT DETECTION METHOD; PIPELINE SYSTEMS;

PETROLEUM PIPELINES;

EID: 38049183063     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (11)

1. Feng, J., Zhang, H.G.: Oil Pipeline Leak Detection and Location using Double Sensors Pressure Gradient Method. Proceedings of the 5th World Congress on Intelligent Control and Automation (2004) 3134-3137
2. Hou, Z.J., Lian, Z.W, Yao, Y., Yuan, X.J.: Cooling-Load Prediction by the Combination of Rough Set Theory and an Artificial Neural-Network based on Data-Fusion Technique. Applied Energy 83 (2006) 1033-1046
3. Pawlak: Rough Sets. Int. J. Comput Sci. 11 (1982) 341-356
4. Zhao, J., Wang, G. Y., Wu, Z.F., Tang, H., Li, H.: Method of Data Discretization based on Rough Set Theory. Mini-Microsytems 25 (2004) 60-64
5. Li, R.P., Wang, Z.O.: Mining Classification Rules using Rough Sets and Neural Networks. European Journal of Operational Research 157 (2004) 439-448
6. Li, C.J., Jansuwan, C.: Dynamic Projection Network for Supervised Pattern Classification. Int. J. Approximate Reasoning 40 (2005) 243-261
7. Zhao, M.: Data Description based on Reduct Theory. Institute of Automation, Chinese Academy of Sciences (2004)
8. Yahia, M.E., Mahmod, R., Sulaiman, N., Ahmad, F.: Rough Neural expert systems. Expert Systems with Applications 18 (2000) 87-99
9. Gorzalczany, M.B., Piasta, Z.: Neuro-Fuzzy Approach Versus Rough-Set Inspired Methodology for Intelligent Decision Support. Information Sciences 120 (1999) 45-68
10. Lingras, P.: Comparison of Neo-fuzzy and Rough Neural Networks. Information Sciences 110(1998) 207-215
11. Yahia, M.E., Mahmod, R.: Hybrid Expert System of Rough Set and Neural Network. Malaysian Journal of Computer Science 12 (1999) 1-8