Surface vibration source number estimation of the 220kV running power transformer based on the Wavelet-SVD-Clustering
Yanwen Chen, Jianyuan Xu, Xuebin Li, Chen Cao, Shuohui Wang, Jia Zhang · 2016
The existing blind source separation algorithm has two problems for the separation of the vibration signal of the transformer. One is the uncertain number of the transformer vibration source. The other is the vibration measuring point, which is not sure after the signal separation. Aiming at these problems, this paper apply the Wavelet-SVD-Clustering analysis method on determinating the number of sources by using one single sensor acquisition of transformer tank vibration signal. The effectiveness of the method is verified by simulation and experimental data analysis. The method of this paper provides guarantee for the correct analysis and separation of the transformer vibration signal.