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Gene Expression Programming-Based Method of Optimal Frequency Set Determination for Purpose of Analogue Circuits’ Diagnosis

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Computer Recognition Systems 2

Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

This paper presents a method for optimal frequency search with the use of Gene Expression Programming (GEP). It includes a brief summary of material of analogue circuits fault diagnosis and introduction to GEP. Developed method belongs to SBT diagnosis routines’ group. Frequency responses for chosen hard faults of a circuit under test as well as for an intact circuit are simulated before test. There are ambiguity sets provided to avoid a fault tolerance masking effect.

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References

  1. Catelani M., Fort A.: Soft Fault Detection and Isolation in Analog Circuits: Some Results and a Comparison Between a Fuzzy Approach and Radial Basis Function Networks, IEEE Trans. On Instrumentation and Measurement, vol. 51, no. 2, pp. 196–202, 2002

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© 2007 Springer-Verlag Berlin Heidelberg

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Jantos, P., Grzechca, D., Golonek, T., Rutkowski, J. (2007). Gene Expression Programming-Based Method of Optimal Frequency Set Determination for Purpose of Analogue Circuits’ Diagnosis. In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_98

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_98

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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