Fault diagnosis and classification based on wavelet transform and neural network

Progress in Nuclear Energy

Volumn 53, Issue 1, 2011, Pages 41-47

  Hadad, Kamal ^a   Pourahmadi, Meisam ^a   Majidi Maraghi, Hosein ^a  

^a SHIRAZ UNIVERSITY   (Iran)

Author keywords

Fault recognition; Neural network; Nuclear power plant; VVER 1000; Wavelet transform

Indexed keywords

ARTIFICIAL NEURAL NETWORK; DEGREE OF ROBUSTNESS; DESIGN BASIS ACCIDENTS; FAULT DIAGNOSIS; FAULT RECOGNITION; INPUT PARAMETER; MATLAB- SOFTWARE; MULTILAYER PERCEPTRON NEURAL NETWORKS; NOVEL METHODS; RESILIENT BACKPROPAGATION; TEMPORAL SHIFTS; TRAINING SETS; VVER-1000;

BACKPROPAGATION ALGORITHMS; COMPUTER SIMULATION; COMPUTER SOFTWARE; METADATA; NUCLEAR ENERGY; NUCLEAR POWER PLANTS; NUCLEAR REACTOR ACCIDENTS; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 78249233249     PISSN: 01491970     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.pnucene.2010.09.006     Document Type: Article

References (15)

1. Burrus, and Sidney Introduction to Wavelets and Wavelets Transforms 1997 Prentice Hall
2. A. Evsukoff, and S. Gentil Recurrent neuro-fuzzy system for fault detection and isolation in nuclear reactors Advanced Engineering Informatics Archive 19 1 2005 55 66
3. P.F. Fantoni, and A. Mazzola A pattern recognition-artificial neural networks based model for signal validation in nuclear power plants Annals of Nuclear Energy 23 13 1996 1069 1076 (Pubitemid 126360217)
4. Gross, K.C., Singer, R.M., Wegerich, S.W., Herzog, J.P., Application of a model-based fault detection system to nuclear plant signals. In: Proceedings of the 9th International Conference on Intelligent Systems Applications to Power Systems, 6-10 July 1997, Seoul, Korea.
5. K. Hadad, M. Mortazavi, A. Safavi, and M. Mastali Enhanced neural network based fault detection of a VVER nuclear power plant with the aid of principal component analysis IEEE Trans Nuclear Science 55 2008 6 3611
6. C.J. Lakhmi, and N.M. Martin Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms: Industrial Applications 1998 CRC Press CRC Press LLC ISBN: 0849398045
7. B. Lu, and B.R. Upadhyaya Monitoring and fault diagnosis of the steam generator system of a nuclear power plant using data-driven modeling and residual space analysis Annals of Nuclear Energy 32 2005 897 912
8. Pourahmadi-nakhli, M., Safavi, A.A., 2010. Path characteristic frequency based fault locating in radial distribution system using wavelets and neural networks. IEEE Transactions on Power Delivery PP (99), 1-10.
9. R. Razavi-Far, H. Davilua, V. Paladeb, and C. Lucas Model-based fault detection and isolation of a steam generator using Neuro-Fuzzy networks Neurocomputing 72 13-15 2009 2939 2951
10. A. Safavi, and J.A. Romagnoli Application of wavelet-based neural networks to modeling and optimization of an experimental distillation column (IFAC Journal of) Engineering Applications of Artificial Intelligence 10 3 1997 301 313
11. T.V. Santosh, V. Gopika, R.K.A.K. Saraf, A.K. Ghosh, and H.S. Kushwaha Application of artificial neural networks to nuclear power plant transient diagnosis Reliability Engineering and System Safety 92 2006 1468 1472
12. T.V. Santosh, A. Srivastava, V.V.S. Sanyasi Rao, A.K. Ghosh, and H.S. Kushwaha Diagnostic system for identification of accident scenarios in nuclear power plants using artificial neural networks Reliability Engineering and System Safety 94 2009 759 762
13. B.R. Upadhyaya, K. Zhao, and B. Lu Fault monitoring of nuclear power plant sensors and field devices Progress in Nuclear Energy 43 1-4 2003 337 342
14. J. Xin, A. Ray, and R.M. Edwards Integrated Robust and resilient control of nuclear power plants for Operational safety and high performance IEEE Transactions on Nuclear Science 55 2 2010 807 817
15. K. Zhao, and B.R. Upadhyaya Model based approach for fault detection and isolation of helical coil steam generator systems using principal component analysis IEEE Transactions on Nuclear Science 53 4 2006 2343 2352