Gearbox Fault Detection by Motor Current Signature Analysis
نویسنده
چکیده
In this paper the results of an experimental study on fault detection in a gearbox using motor current signature analysis is presented. Broken teeth and teeth wear have been artificially introduced in the gears as faults. Signal processing techniques like the multiresolution fourier transform (MFT) has been used for feature extraction from the current signals drawn by the induction motor driving the gear box. The present technique is able to detect faults at very low loads on the gearbox, where the modulation index is very low. Such a technique can be used to successfully detect faults in many rotating machines.
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