A transformer noise suppression method

A method of suppressing noise of a transformer, characterized by the following steps:

• using a system is consisting essentially of a controller including an intelligent chip, an initial noise measuring microphone, a residual noise measuring microphone, and a loudspeaker, wherein the controller performs noise suppression in the following steps:
• receiving, in a first step, an initial noise digital signal transmitted and converted by the initial noise measuring microphone in the vicinity of a noise source as an input signal of a BP (Back Propagation) neural network;
• processing, in a second step, the input signal by BP neural network to generate an secondary digital signal whose phase is deviated from the input signal;
• converting, in a third step, the secondary digital signal into an analog signal, amplifying and outputting the secondary signal to the loudspeaker to generate a secondary noise having an inhibitory effect on the initial noise;
• receiving, in a fourth step, the initial noise picked up by the residual noise measurement microphone and the residual noise digital signal superimposed and converted by the secondary noise to determine whether the amplitude of the residual noise digital signal has been continuously set the number of times unchanged, if so, the secondary digital signal output is kept, otherwise proceed to the next step;
• and
• minimizing, in a first step, the residual noise digital signal amplitude as the principle of optimization to optimize and adjust the BP neural network parameters, the initial noise digital signal of the next time as the new BP neural network input signal, and then repeat the second step,
• wherein the first-fifth steps are performed sequentially in that order.