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Nonlinear model transformation solving and optimization method for partial discharge positioning based on multi-ultrasonic sensor

A nonlinear model transformation solving and optimization method for partial discharge positioning based on multi-ultrasonic sensor includes the following steps: (1) constructing a spatial rectangular coordinate system in a transformer, and setting a position of each ultrasonic sensor; (2) constructing a positioning model on the basis of an arrival time positioning method to obtain a nonlinear positioning equation set for solving a position of a PD source; (3) eliminating second-order terms in the nonlinear positioning equation set to transform the nonlinear positioning equation set into a linear equation set; (4) obtaining multiple sample initial values of a coordinate of the PD source; (5) screening the multiple sample initial values; (6) performing clustering processing on the multiple effective sample initial values by adopting an improved K-means algorithm; and (7) selecting a class with most cluster elements, and calculating a mean of the elements of the class to finally determine an optimal coordinate of the PD source. According to the present invention, the present problems of selection difficulty, iteration non-convergence, long operation time, sensitivity to an arrival time error and the like of an iteration algorithm adopted when a nonlinear model is solved are effectively solved.
Owner:WUHAN UNIV
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