The invention discloses a Barkhausen
signal randomness measurement and
conversion method. The method comprises the following steps: S1, determining an original feature
sample space of
signal features;s2, calculating a feature probability distribution space of an original feature
sample space; s3, reconstructing an original feature
sample space; s4, inputting the original feature sample space andthe reconstructed feature sample space into a prediction model for prediction; s5, comparing prediction results to obtain interval indexes, and taking the interval indexes as Barkhausen
signal randomness measurement results; and S6, adding ordered quantized
noise to the Barkhausen signal of the selected interval index to complete the conversion of the randomness of the Barkhausen signal. The invention relates to research on a randomness measurement and
conversion method of a Barkhausen signal which is a
nondestructive testing technology, is completed by means of Bayesian
uncertainty analysis,is greatly helpful to deeply understand the intrinsic random characteristics of the Barkhausen signal, and enables the characteristics in different states to be more differentiated through probabilityconversion.