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In secondary path identification of power transformer Active Noise Control (ANC) system, the background noise regards as useful signal, which makes identification result can't reflect the characteristic of secondary path and affect the stability and convergence of the ANC system. According to the actual working condition of Power transformer ANC system, the influence of background noise is almost removed by combining the time-sharing measurement method with signal correlation analysis and setting a threshold. The simulation results demonstrate that the accuracy of identification is significantly improved, showing the effectiveness of the proposed method.

The processing of background noise in secondary path identification of Power transformer ANC system