Abstract
A neural network based knowledge discovery method for single fault detection in electronics circuits is presented. A functional equivalence of Radial Basis Function (RBF) neural network and Takagi-Sugeno (TS) fuzzy system is used in this process. A specially modified incremental RBF network training scheme suitable for rule discovery is used. Next, the RBF neural network is converted into the TS fuzzy system. A set of linguistic rules for detection of circuit catastrophic faults are obtained (100% detection accuracy was achieved for the tested electronic circuit).
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References
Bandler, J.W., Salama, A.E.: Fault diagnosis of analog circuits. Proceedings of the IEEE 73(8), 1279–1325 (1985)
Rutkowski, J.: Dictionary diagnostic methods for testing analog electronic cirucits. WKL, Warszawa (2003) (in Polish)
Korbicz, J.: Process diagnostics. WNT Warszawa (2002) (in Polish)
Strumillo, P., Kaminski, W.: Radial Basis Function Neural Networks: Theory and Applicatiuons. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing, pp. 107–119. Physica-Verlag, Heidelberg (2003)
Michalewicz, Z.: Genetic algorithms + data structures = evolution programs. WNT, Warszawa (1996) (in Polish)
Koszlaga, J., Strumillo, P.: Evolutionary algorithm vs. other methods for constructive optimisation of RBF network kernels. In: Rutkowski, L., Kacprzyk, J. (eds.) Neural Networks and Soft Computing, pp. 212–217. Physica Verlag, Heidelberg (2003)
Koszlaga, J., Strumillo, P.: Rule Extraction from Trained Radial Basis Function Neural Networks. In: Colloquia in Artificial Intelligence £ód”Y, Poland, October 2000, pp. 97-106 (2000)
Hunt, K.J., Hass, R., Murray-Smith, R.: Extending the Functional Equivalence of Radial Basis Function Networks and Fuzzy Inference Systems. IEEE Trans. Neural Networks 7(3), 776–781 (1996)
Catelani, M., Fort, A., Alippi, C.: A fuzzy approach for soft fault detection in analog circuits. Measurement 32, 73–83 (2002)
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Koszlaga, J., Strumillo, P. (2004). Discovery of Linguistic Rules by Means of RBF Network for Fault Detection in Electronic Circuits. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_29
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DOI: https://doi.org/10.1007/978-3-540-24844-6_29
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22123-4
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