The measured voiceprint signals of 750 kV reactor contain interference noises in different frequency bands

which affect the accuracy of voiceprint recognition of the reactors

and it is necessary to separate the voiceprint from the collected signals. This study employed an acoustic array to collect voiceprint signals of 750 kV reactor

optimized the decomposition layer number K and penalty factor α of the variational mode decomposition algorithm using the Sea-Horese optimization algorithm

removed high-frequency interference

and used the fast independent component analysis algorithm to separate the voiceprint of the reactor body. The correlation coefficient between the voiceprint signal of the 750 kV reactor body separated by the method in this article and the comparison signal is 0.954 2

and the SNR is 10.548 2 dB. Compared with the SCA algorithm

it improves by 6.63% and 2.282 7 dB respectively

indicating that the method in this article has higher applicability and accuracy.