Analysis and Research of High Voltage Cable Head Insulation Discharge Diagnosis Based on Various Detection Methods
Abstract
Because there are many and complex types of high-voltage cable head insulation discharge, the accuracy of the discharge diagnosis decreases and the diagnosis time increases. Therefore, a new method for diagnosing high-voltage cable head insulation discharge based on multiple detection methods is proposed and tested. The proposed method involves using the fiber Bragg grating to collect the insulation discharge acoustic signal of high voltage cable head, and using subspace reconstruction, frequency slicing wavelet and fast independent component analysis to suppress interferences due to periodic narrow-band, white noise, and random impulse. The M-ary support vector machine is used to classify the insulation discharge signals of a
high-voltage cable head, and achieve the discharge diagnosis. The experimental results show that for the four types of typical high-voltage cable head insulation discharges (needle plate discharge, internall discharge, suspension discharge and surface discharge), the proposed method achieves a high level of diagnostic accuracy and the diagnosis time is short. Hence, the proposed method can achieve rapid and accurate diagnosis of high-voltage cable head insulation discharge.
Keywords: high-voltage cable head; insulation discharge diagnosis; fiber Bragg grating; subspace reconstruction; frequency slice wavelet; fast independent component analysis; M-ary support vector machine
Cite As
Y. Zhao, Q. Liu, T. Shang, Y. Shang, R. Xia, S. Shao, "Analysis and Research of High Voltage Cable
Head Insulation Discharge Diagnosis Based on Various Detection Methods", Engineering Intelligent
Systems, vol. 32 no. 2, pp. 105-115, 2024.