Gears are one of the most significant machines elements for transmitting torque. Its application can be found in various machines. Examination of gear teeth interaction has been considered as one of the most cumbersome tasks. The variation in working conditions like rise in load, temperature, decrease in dynamic viscosity result diminution in EHL and decrease of characteristics of lubricant thereby initiating various types of wears on gear tooth surfaces viz. spalling, scoring, pitting and micro-pitting etc., these wears effects on change in vibration signature. This article shows the outcomes of experimental examination performed to monitor wear in standard and profile shifted spur gears drives under static loading conditions. The article considered the vibration signal analysis along with empirical mode decomposition (EMD) approach to extract the wear related characteristics from the vibration signatures attained from the gear drive. The outcomes highlight the significance of EMD approach for efficient estimation of faults in gear drive.