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Fault detection in non-linear systems based on type-2 fuzzy logic

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  • Behrooz Safarinejadian
  • Parisa Ghane
  • Hossein Monirvaghefi

Abstract

This paper presents a new method for fault detection (FD) based on interval type-2 fuzzy sets. The main idea is based on a confident span using interval type-2 fuzzy systems. An estimate for upper and lower bounds of output has been taken using the designing of an optimal fuzzy system through clustering. Finally the method has been tested in two non-linear systems, a two-tank with a fluid flow and pH neutralisation process, and it is compared with a well-known method named ANFIS. Furthermore, the mathematical model and the results of simulations prove the effectiveness, usefulness and applications of our new method.

Suggested Citation

  • Behrooz Safarinejadian & Parisa Ghane & Hossein Monirvaghefi, 2015. "Fault detection in non-linear systems based on type-2 fuzzy logic," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(3), pages 394-404, February.
    • Handle: RePEc:taf:tsysxx:v:46:y:2015:i:3:p:394-404
    DOI: 10.1080/00207721.2013.784371
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