Path: Top -> Journal -> Jurnal Internasional -> Fuzzy Information and Engineering -> 2021 -> Volume 13, Issue 3
Fuzzy Analysis of Resonance Frequencies for Structural Inspection of an Engine Cylinder Block
Oleh : Morteza Mohammadzaheri, Amirhosein Amouzadeh, Mojtaba Doustmohammadi, Mohammadreza Emadi, Ehsan Jamshidi, Mojtaba Ghodsi & Payam Soltani, Fuzzy Information and Engineering
Dibuat : 2022-02-16, dengan 0 file
Keyword : Vibration, structural inspection, resonance frequencies, fuzzy, cylinder block
Url : http://www.tandfonline.com/doi/full/10.1080/16168658.2021.1908819
Sumber pengambilan dokumen : web
Summary: 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.
Summary: 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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