A fuzzy virtual temperature sensor for an irradiative enclosure

Mehrabi, Dalileh; Mohammadzaheri, Morteza; Firoozfar, Ali; Emadi, Mohammadreza

doi:10.1007/s12206-017-0947-x

Cited by 11 publications

(1 citation statement)

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“…A linear Sugeno-type FIS was used in this research [24]. These fuzzy systems have been successfully used to tackle engineering problems in the areas of data-driven modelling [25], estimation [26] and virtual sensing [27] and can be converted into neuro-fuzzy networks [28].…”

Section: Step 3 -Development Of Fuzzy Inference Systemmentioning

confidence: 99%

Fuzzy Analysis of Resonance Frequencies for Structural Inspection of an Engine Cylinder Block

Mohammadzaheri

Amouzadeh

Doustmohammadi

et al. 2021

Fuzzy Information and Engineering

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A new inspection technique for complex mechanical structures is proposed in this paper, where a fuzzy inference system carries out structural inspection. The inputs to the fuzzy inference system are the elements of a fault signature, an array of numbers prepared with use of below 5 kHz resonance frequencies of faultless and a number of faulty specimens.Advantage: Below 5 kHz resonance frequencies are easier and less expensive to obtain compared to higher frequency ones.Limit: Due to high expenses of experiments, reliable finite element models were alternatively used to obtain resonance frequencies of the faulty specimens.Results: The developed fuzzy inference system in this research accurately located an under-surface fault in an engine cylinder block.

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