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 ,
Luiz C. Rosa
- São Paulo State University – UNESP, Sorocaba campus, Brazil.
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.
Keywords
- Expert systems
- fault diagnosis
- fuzzy logic
- rotary machine
- virtual instrumentation
How to 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. https://doi.org/10.7763/IJCTE.2012.V4.628
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).