Worm and wheel gears fault frequency extraction using minimum entropy deconvolution based envelope of the vibration signal

Abstract

Identification of fault frequency or hunting tooth frequency of the gears is a challenging task especially in worm and wheel gears which operate at relatively slow speed. The impulses due to fault in meshing gears are not strong enough to expose themselves in the signal acquired from the gearbox. Fault features remained buried beneath noise from other components of the gearbox and surrounding. A scheme of signal processing has been proposed to deconvolute the signal and enhance the impulses in the signal obtained from meshing faulty teeth. Further, in this scheme, the envelope of the signal extracts the period of faulty tooth meshing which is verified from theoretical results and found in good agreement.