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High-order interval type-2 Takagi-Sugeno-Kang fuzzy logic system and its application in acoustic emission signal modeling in turning process

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Abstract

Type-2 fuzzy logic systems (FLSs) are gaining in popularity because of their capacity to handle rule uncertainties in a more complete way. Moreover, higher-order interval type-2 (IT2) FLS can reduce drastically the number of rules needed to perform the approximation and improve transparency and interpretation in many high-dimensional systems. This paper presents architecture and inference engine of generalized IT2 Takagi-Sugeno-Kang (TSK) FLS and the design method of higher-order IT2 FLS. An experimental acoustic emission (AE) signal modeling using a second-order IT2 TSK FLS in turning process is given to demonstrate the differences between the first-order and second-order IT2 FLSs and the advantage and efficiency of high-order IT2 FLS. The estimation of uncertainty of AE could be of great value to a decision maker and used to investigate tool wear condition during the machining process.

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Authors and Affiliations

  1. Department of Mechanical Engineering, École Polytechnique de Montréal, Montreal, Quebec, Canada

    Qun Ren, Marek Balazinski & Luc Baron

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  1. Qun Ren
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  2. Marek Balazinski
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  3. Luc Baron
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Correspondence to Qun Ren.

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Ren, Q., Balazinski, M. & Baron, L. High-order interval type-2 Takagi-Sugeno-Kang fuzzy logic system and its application in acoustic emission signal modeling in turning process. Int J Adv Manuf Technol 63, 1057–1063 (2012). https://doi.org/10.1007/s00170-012-3956-z

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  • DOI: https://doi.org/10.1007/s00170-012-3956-z

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