XU Zhi-chao, LI Kai, ZHAO Zhen-gang, et al. Application of blind source separation algorithm based on JADE in monitoring of transformer vibration signal[J]. 2017, 36(9): 157-160.
XU Zhi-chao, LI Kai, ZHAO Zhen-gang, et al. Application of blind source separation algorithm based on JADE in monitoring of transformer vibration signal[J]. 2017, 36(9): 157-160. DOI: 10.13873/J.1000-9787(2017)09-0157-04.
Core and winding are main vibration sources which generate transformer vibration
monitoring vibration signals of core and winding
can predict and diagnose operational status of ransformer. Select general changes made S13—12500/35 type oil-immersed non-excitation voltage regulating power transformer
the two fiber Bragg grating vibration sensors are laid inside transformer
vibration signal is acquired directly under transformer load. By JADE algorithm
two groups load signal are separated
after separation
a groups is found that signal energy is concentrated at 100 Hz which is closer to core vibrational signal spectral characteristics
another group of signals are distributed at each frequency
and closer to spectral characteristics of winding vibration signal.