To improve the efficiency of cylindrical plunge grinding, an optimization of grinding process is developed using the Acoustic emission (AE) signals. The relationship between the grinding feed and grinding depth is established based on the elastic deflection between wheel and workpiece. Acoustic emission (AE) signals are curve fitted through the gauss - Newton method to find the stable point of various grinding processes. Therefore, grinding time of each grinding stage is reduced to improve the grinding efficiency.