Resumo

MEDRANO-HURTADO, Zulma Yadira; PEREZ-TELLO, Carlos; GOMEZ-SARDUY, Julio  e  VERA-PEREZ, Maximiliano. Novel Methodology of Fault Diagnosis on Bearings in a Synchronous Machine by Processing Vibro-Acoustic Signals Using Power Spectral Density. Ing. invest. y tecnol. [online]. 2016, vol.17, n.1, pp.73-85. ISSN 2594-0732.

This work presents a novel methodology for detecting faults in bearings in a synchronous generator, using vibration signals captured through acceleration transducer (piezoelectric accelerometers) and acoustic transducer (omnidirectional microphone), to process vibration signals using the algorithm known as power spectral density (PSD). It analyzes vibration signals resulting from bearings, without fault and with artificial fault, respectively. The artificial fault consisted in a crack produced in a cage of a SKF6303-2RSH bearing. This method allows the utilization of microphones to analyze the vibration of machines which represents not having to mount any type of transducer on the machine as if occurs with the conventional technique of fault detection through the use of accelerometers, in addition to be a method that can detect a fault in the bearing cage.

Palavras-chave : spectral density of power; piezoelectric accelerometer; omni-directional microphones; failure; cage bearing.

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