The invention relates to a method for predicting far-field noises of a converter
transformer. The method comprises the steps of 1) according to a factory
sound power level and a
noise spectrum of theconverter
transformer, building a Cadna / A prediction
software-based model; 2) measuring a near-field
noise value of the converter
transformer and a spectrum of a sound receiving point; 3) converting
sound pressure levels into sound pressures, and calculating respective contribution value proportions eta, wherein the
sound pressure levels include
sound pressure levels LPi, contributed by a converter transformer body and a fan of the converter transformer body, of the sound receiving point and a total sound
pressure level LP of the sound receiving point; 4) by applying an inversion method of Cadna / A
software, according to a contribution value proportion, adjusting
sound power levels of the converter transformer body and the fan to make a predicted value of the sound receiving point basicallyconsistent with an error of an actually measured value; and 5) according to the adjusted model, performing far-field
noise prediction of the converter transformer. According to the method, through Cadna / A
software modeling, the model is adjusted to be matched with noise distribution around the converter transformer according to the percentage of the contribution values of the noise spectrums of the converter transformer body and the fan, thereby realizing accurate prediction of the far-field noises of the converter transformer.