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By using pulsed eddy-current (PEC), a neural network
was adopted to forecast the thickness of metal and
the distance
between coil and metal. The relationship between the
transient current induced and different metallic
thickness was analyzed
theoretically. The result shows that three features
of the signal including the peak height, the time of
occurrence of the first peak, and
a zero-crossing time, are obtained. The measurement
error is within 2%.
was adopted to forecast the thickness of metal and
the distance
between coil and metal. The relationship between the
transient current induced and different metallic
thickness was analyzed
theoretically. The result shows that three features
of the signal including the peak height, the time of
occurrence of the first peak, and
a zero-crossing time, are obtained. The measurement
error is within 2%.