Fuzzy reasoning spiking neural P system for fault diagnosis

Information Sciences

Volumn 235, Issue , 2013, Pages 106-116

  Peng, Hong ^a,b   Wang, Jun ^a   Pérez Jiménez, Mario J ^b   Wang, Hao ^a   Shao, Jie ^a   Wang, Tao ^a  

^a XIHUA UNIVERSITY   (China)

^b UNIVERSITY OF SEVILLE   (Spain)

Author keywords

Fault diagnosis; Fuzzy knowledge representation; Fuzzy reasoning; P systems; Spiking neural P systems

Indexed keywords

DISTRIBUTED PARALLEL COMPUTING; FAULT DIAGNOSIS APPLICATIONS; FUZZY KNOWLEDGE REPRESENTATION; FUZZY REASONING; FUZZY REASONING ALGORITHM; P SYSTEMS; SPIKING NEURAL P SYSTEMS; TRANSFORMER FAULT DIAGNOSIS;

FAILURE ANALYSIS; KNOWLEDGE BASED SYSTEMS; KNOWLEDGE REPRESENTATION; PARALLEL ARCHITECTURES;

FUZZY LOGIC;

EID: 84875961912     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2012.07.015     Document Type: Article

References (30)

1. M. Barakat, F. Druaux, D. Lefebvre, M. Khalil, and O. Mustapha Self adaptive growing neural network classifier for faults detection and diagnosis Neurocomputing 74 18 2011 3865 3876
2. P. Bhowal, D. Sarkar, S. Mukhopadhyay, and A. Basu Fault diagnosis in discrete time hybrid systems-a case study Information Sciences 177 5 2007 1290 1308
3. M. Cavaliere, O.H. Ibarra, Gh. Pǎun, O. Egecioglu, M. Ionescu, and S. Woodworth Asynchronous spiking neural P systems Theoretical Computer Science 410 24-25 2009 2352 2364
4. T.-C. Chiang, C.-F. Tai, and T.-W. Hou A knowledge-based inference multicast protocol using adaptive fuzzy Petri nets Expert Systems with Applications 36 4 2009 8115 8123
5. S. Deng, Seng-Yi Lin, and We-Luan Chang Application of multiclass support vector machines for fault diagnosis of field air defense gun Expert Systems with Applications 38 5 2011 6007 6013
6. M. Gao, M. Zhou, and Y. Tang Intelligent deision making in disassembly process based on fuzzy reasoning petri nets IEEE Transaction Systems, Man, Cybernetics-Part B: Cybernetics 34 5 2004 2029 2034
7. L. Huang, I.H. Suh, and A. Abraham Dynamic multi-objective optimization based on membrane computing for control of time-varying unstable plants Information Sciences 181 11 2011 2370 2391
8. M. Ionescu, Gh. Pǎun, and T. Yokomori Spiking neural P systems Fundameta Informaticae 71 2-3 2006 279 308
9. M. Ionescu, D. Sburlan, Some applications of spiking neural P systems, in: Proceedings of the Eighth Workshop on Membrane Computing, 2007, pp. 383-394.
10. S.M. Islam, T. Wu, and G. Ledwich A novel fuzzy logic approach to transformer fault diagnosis IEEE Transactions an Dielectrics and ElecfricaI Insulation 7 2 2000 177 186
11. C.H. Lo, Y.K. Wong, and A.B. Rad Bond graph based Bayesian network for fault diagnosis Applied Soft Computing 11 1 2011 1208 1212
12. C. Ma, X. Gu, and Y. Wang Fault diagnosis of power electronic system based on fault gradation and neural network group Neurocomputing 72 13-15 2009 2909 2914
13. V. Novak Fuzzy Set and Their Application 1989 Adam Hilger Bristol
14. L.Q. Pan, and Gh. Pǎun Spiking neural P systems: an improved normal form Theoretical Computer Science 411 6 2010 906 918
15. Gh. Pǎun Computing with membranes Journal of Computer System Sciences 61 1 2000 108 143 (and TUCS Research Report 208, 1998)
16. Gh. Pǎun, M.J. Pérez-Jiménez, and G. Rozenberg Spike train in spiking neural P systems International Journal of Foundations of Computer Science 17 4 2006 975 1002
17. Gh. Pǎun, G. Rozenberg, and A. Salomaa The Oxford Handbook of Membrance Computing 2010 Oxford Unversity Press New York
18. W. Pedrycz Geeralized fuzzy petri nets as pattern classifiers Pattern Recognition Letters 20 1999 769 778
19. W. Pedrycz, and F. Gomide A generalized fuzzy petri net model IEEE Transaction on Fuzzy Systems 2 1994 295 301
20. H. Peng, J. Wang, Adaptive spiking neural P systems, in: 2010 Sixth International Conference of Natural Computing (ICNC2010), vol. 6, 2010, pp. 3008-3011.
21. G.G. Rigatos Fault detection and isolation based on fuzzy automata Information Sciences 179 12 2009 1893 1902
22. S. Ribaric, and T. Hrkac A model of fuzzy spatio-temporal knowledge representation and reasoning based on high-level Petri nets Information Systems 37 3 2012 238 256
23. G. Rozenberg, and A. Salomaa Handbook of Formal Languages, Word, Language, Grammar vol. 1 1997 Springer Varlag Berlin
24. J. Sun, S.-Y. Qin, and Y.-H. Song Fault diagnosis of electric power systems based on fuzzy petri nets IEEE Transaction on Power Systems 19 4 2004 2053 2059
25. J. Wang, H.J. Hoogeboom, L. Pan, Gh. P a ̌ un, Spiking neural P systems with weights and thresholds, in: Tenth Workshop on Membrane Computing (WMC10), August, Romania, 2009, pp. 514-533.
26. J. Wang, H. Peng, Fuzzy knowledge representation based on an improving spiking neural P system, in: 2010 Sixth International Conference of Natural Computing (ICNC2010), vol. 6, 2010, pp. 3012-3015.
27. T. Wang, H. Peng, and J. Shao A thresholding method based on P systems for image segmentation ICIC Express Letters 6 1 2012 221 227
28. J. Wang, L. Zhou, H. Peng, and G. Zhang An extended spiking neural P system for fuzzy knowledge representation International Journal of Innovative Computing, Information and Control 7 7A 2011 3709 3724
29. Q. Wu, and R. Law Complex system fault diagnosis based on a fuzzy robust wavelet support vector classifier and an adaptive Gaussian particle swarm optimization Information Sciences 180 23 2010 4514 4528
30. L.A. Zadeh Fuzzy Logic Technology and Their Application 1994 IEEE Publications