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The aim of this paper is to discuss gap voltage pulse
identification in an EDM process and to propose a fuzzy control
rule table. Generally, the discharge waveforms of normal
sparks, short circuits, arcs and open circuits can be
distinguished easily. Few systems have more advanced features
like discharge voltage noise detection facilities, particular
arc type detections, etc. It turns out that some process
phenomena can not fully be clarified and understood. So, this
paper classifies the discharge waveforms into more types, each
type has a different impact on the process output parameter
such as material removal, electrode wear, pollution of the gap,
stability, etc. We used six voltage features to derive the
pulse generator matrix. According to this matrix, we can write
eighteen distinguished Boolean expressions. Any pulse type can
be expressed by a Boolean representation of required pulse
fearture bits. After we identified the pulse types, this paper
also proposes an algorithm to predict the next pulse state, and
then construct the fuzzy control rule table for the use of EDM
adaptive control.
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