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

Vanni, Renato [UNESP]Botura Júnior, Galdenoro [UNESP]Lemos, Marilza Antunes de [UNESP]Marques, Marcio Alexandre [UNESP]Rosa, Luiz Carlos [UNESP]2016-03-022016-03-022012International Journal of Computer Theory and Engineering, v. 4, n. 6, p. 1011-1014, 2012.1793-8201http://hdl.handle.net/11449/135094This 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.1011-1014engExpert systemsFault diagnosisFuzzy logicRotary machineVirtual instrumentationExpert system to detect incipient fauts in rotating machines using fuzzy logic and virtual instrumentationArtigoAcesso restrito2863978276801537561251585648791134930528196581910000-0003-4482-3300