The invention discloses a
transformer partial discharge ultrahigh frequency detection Hilbert
fractal antenna optimization method. The method includes the following steps: S1, determining a
fitness function of a
genetic algorithm according to a design object of an
ultrahigh frequency antenna, and controlling the search direction of the
algorithm; S2, determining structural parameters a, b, and c, of the antenna and an encoding and decoding scheme of (x, y); S3, using each group of structural parameters of the
ultrahigh frequency antenna as an individual, and determining a certain number of individuals as an initial
population of the
genetic algorithm; S4, decoding a binary code of each individual into a structural parameter of the ultrahigh frequency antenna, invoking Ansoft Designer
software to perform
simulation so as to acquire an electrical characteristic parameter of the antenna, and substituting the calculated standing-wave ratio into the
fitness function to calculate the fitness value of the individual; and S5, determining if a design demand of the antenna is met or not according to the returned fitness value of the individual. The invention provides an analysis antenna automatic optimization
algorithm which can improve the design ability and efficiency of the antenna, and can acquire a
partial discharge ultrahigh
frequency detection Hilbert
fractal antenna having excellent performance.