To measure precisely the discharge state and overcome the shortcomings of the distortion of discharge signals and the instability of discharge state,the principle and method of successive mapping detection were proposed combined with the system identification and fuzzy control after analysis on traditional discharge state detection methods in micro Electrical Discharge Machining(EDM).For real-time collected gap voltage and current signals in the process,the fuzzy operation was used to identify the discharge state of a sampling point and then to map the sampling point discharge state value into sampling point discharge state vector.Furthermore,the vector was counted to obtain the“Short rate” and “spark/arc rate” and the fuzzy reasoning was used to identify the discharge state of each cycle.Test results show that the presented detection method has highly accuracy and is able to identify data and operate fast.Compared with that of the average voltage detection method, the efficiency has been increased by 22.2%.Detection results can provide feed back inputs of the system discharge states for the real-time control of the discharge process, which ensures the stability and accuracy of the processing control system.