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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(6): 1011-1014 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.628

Expert System to Detect Incipient Faults in Rotating Machines Using Fuzzy Logic and Virtual Instrumentation

Renato K. Vanni, Galdenoro Botura Jr, Marilza A. Lemos, Marcio A. Marques, and Luiz C. Rosa

Abstract—This paper refers to the design of an expert system that captures a waveform through the use of an accelerometer, processes the signal and converts it to the frequency domain using a Fast Fourier Transformer to then, using artificial intelligence techniques, specifically Fuzzy Reasoning, it determines if there is any failure present in the underlying mode of the equipment, such as imbalance, misalignment or bearing defects.

Index Terms—Expert systems, fault diagnosis, fuzzy logic, rotary machine, virtual instrumentation.

The authors are with the São Paulo State University – UNESP, Sorocaba campus, Brazil (e-mail: renato.kvanni@gmail.com, {galdenoro, marilza,marciomq, luizrosa}@sorocaba.unesp.br).

[PDF]

Cite: Renato K. Vanni, Galdenoro Botura Jr, Marilza A. Lemos, Marcio A. Marques, and Luiz C. Rosa, "Expert System to Detect Incipient Faults in Rotating Machines Using Fuzzy Logic and Virtual Instrumentation," International Journal of Computer Theory and Engineering vol. 4, no. 6, pp.  1011-1014, 2012.

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