With the ever increase of length of high-voltage（HV）transmission lines

the on-line identification on the fault of high-voltage transmission cable becomes into the current research hotspot. Aiming at the deficiency of fault monitoring and identification of high-voltage transmission cable in this paper

a kind of Lissajous pattern identification method on the fault of high-voltage cable based on grey relation analysis is proposed. This method includes a signal analysis method based on Lissajous pattern and a pattern recognition method based on grey relation. The head and end circulating current of the high-voltage cable is collected and a two-dimensional Lissajous pattern is constructed to analyze and obtain such graphical feature parameters as long axis

short axis

eccentricity and tilt angle and its variation rate

which are used as input feature vectors. The corresponding degree of correlation is obtained through solving entropy value

entropy weight and correlation coefficient of the sample space vector which is consisted of input feature vector of unknown type of fault and the parameters of the known types of fault and

eventually

the accurate identification of the fault is achieved. Finally

the simulation model is set up with the actual line as the reference and the accuracy of the method is analyzed and verified in combination with example

which provides a new idea for fault identification of high-voltage transmission cable.