A transformer noise suppression method

A transformer noise suppression method, belonging to the technical field of electric power supply. The noise suppression method of individual active noise reduction system comprises the steps that: (1) initial noise digital signals are received and converted to serve as input signals of a BP neural network; (2) the input signals are processed to generate secondary digital signals; (3) the secondary digital signals are output to a loudspeaker and secondary noise is generated; (4) remained noise digital signals obtained by overlapping the initial noise and the secondary noise are received; whether remained noise digital signals is continuously constant for the set times is judged; if yes, the secondary digital signals are kept outputting; (5)if not, BP neural network parameters are optimized and adjusted with the amplitude of the remained noise digital signals being minimum as the optimality principle; remained noise digital signals of previous step are served as new input signals and the step (2) is executed again. At proper position about oil boxes of transformers multi individual path noise reduction systems are arranged in order to constitute the multi-path suppression system of transformer noise. The transformer noise suppression method can quickly suppress the noise within a certain range of noise sources such as transformers; an ideal noise reduction effect can be achieved and the problems of high cost, poor effect and poor portability with traditional noise reduction methods are solved.