Expert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentation


Autoria(s): Vanni, Renato; Botura Júnior, Galdenoro; Lemos, Marilza Antunes de; Marques, Marcio Alexandre; Rosa, Luiz Carlos
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

02/03/2016

02/03/2016

2012

Resumo

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.

Formato

1011-1014

Identificador

http://www.ijcte.org/papers/628-S0074.pdf

International Journal of Computer Theory and Engineering, v. 4, n. 6, p. 1011-1014, 2012.

1793-8201

http://hdl.handle.net/11449/135094

2863978276801537

5612515856487911

Idioma(s)

eng

Relação

International Journal of Computer Theory and Engineering

Direitos

closedAccess

Palavras-Chave #Expert systems #Fault diagnosis #Fuzzy logic #Rotary machine #Virtual instrumentation
Tipo

info:eu-repo/semantics/article