Method of sparse design based on the dimension reduction technology and the double partial discharge sources positioning test

摘要

The detection method of partial discharge (PD) ultrasonic array signals is a new method that applies array sensors and array signals process technique to the PD detection. Moreover, the technique has high signal-to-noise ratio and high reliability. Compared with a full array sensor, degree reduction array sensor is a sparse array detection system, which has advantages of simple structure, low cost, and meeting most needs of engineering. However, these existed degree reduction algorithms of sparse optimal design are relatively complicated, affecting the success rate and the accuracy of detection. Therefore, this study proposes a method, which is the optimal design of the PD ultrasonic array sensor based on genetic algorithm dimension reduction technique. First, a two-dimensional (2D) plane circular array search is changed into a corresponding 1D linear search, and the genetic algorithm performs the linear search. Then, a circular array structure is restored to calculate the array performance. Finally, an optimal sparse structure of the circular PD ultrasonic array sensor is obtained under multiple constraints. The simulated results and the experimental studies are carried out to verify the validity and effectiveness of the proposed approach.