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Contact fatigue is a major concern on the durability of vehicle powertrain gear design. Having an effective method for gear life trend prediction will prevent over design of the powertrain gears and assure the quality of the products. The ANSI/AGMA Standard on gear contact fatigue life calculation is based on an empirical model developed from experiment data fitting. A similar approach widely used in the industry uses measured component SN curves for correspondence between loads and life cycles [1]. This method is simple. But important physical parameters such as material, lubricant, and manufacturing factors are not included in the model, therefore, the model cannot to be used for design optimization. Although some analytical models are available for the gear life prediction, they have not been accepted by the industry. On the one hand, most theoretical models are too complicated for applications.