Precise detection of the discharge states is the precondition of stable control in micro EDM. However

the frequent discharge signals distortion

instability and even mutation in micro EDM make it really difficult. To solve the difficulty

the successive mapping detection principle and method combined with the system identification and fuzzy control are proposed on the basis of analyzing traditional micro EDM discharge states detection methods. For the real-time collected gap voltage and current signals in the process

fuzzy operation is used to identify the discharge state of the sampling point and then map the sampling point discharge state value to sampling point discharge state vector. “Short rate” and “spark/arc rate” are obtained by making statistics of the vectors and fuzzy reasoning is used to identify the discharge state of each cycle. The test results show that the presented detection method is highly accurate and able to identify data and operate fast. Detection results provide feed back inputs of the system discharge states for the real-time control of the discharge process

which ensures the stability and the accuracy of the processing control system.