CONDITION MONITORING OF DIFFERENTIAL USING POWER SPECTRAL DENSITY

This paper concentrates on a procedure which experimentally recognizes crown wheel and pinion faults of a typical differential system using power spectral density. The differential conditions were considered to be normal differential, broken teeth of crown wheel and broken teeth of pinion. In this study we were calculated RMS and power spectral density of Roa differential in different situation. The largest acceleration value was occurred in the condition of broken teeth of crown wheel and its value was about 0. 13g. The results showed that the area under power spectral density curves indicated a problem. More area below power spectral density curve showed that the faults were deeper. The results showed that with calculating PSD we could find some fault and diagnosis of electromotor as soon as possible.