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

Partial discharge ultrasonic detection based on EULER‐MUSIC algorithm and conformal array sensor

“…The phenomenon of multi‐point discharge appears during operation of electrical equipment. By taking two discharge sources as examples, the study carried out a simulation of direction finding and the direction‐finding method for multi‐point discharges is similar to that for double point discharges [24]. Two PD sources are taken as examples and the spatial locations of three array sensors are shown as ( x i , y i , z i ) ( i = 1, 2, 3) in which S 11 , S 12 , S 21 , S 22 , S 31 and S 32 separately denote the direction‐finding lines between each sensor and the two PD sources.…”

Fast direction of arrival estimation method for ultra‐high voltage converter valve insulation board partial discharge based on a sparse array

“…The acoustic array structure also exerts a significant influence on the localization effect. Compared with L-type, V-type, T-type and cross-type arrays, two-dimensional DOA(2D-DOA) estimation using planar arrays has significant advantages such as low side-lobe amplitude, and superior robustness to passive/active interference, although there are also certain disadvantages such as the need for a large-scale acoustic array, complex sampling equipment, and high hardware and software design costs [24,25]. In this context, sparse theory is used for optimization.…”

Optimisation of antenna array allocation for partial discharge localisation in air‐insulated substation

“…To monitor the PDs of all equipments including power transformer, potential transformer and current transformer, breaker and bushing etc in the whole airinsulted substation (AIS), an UHF antenna array-based sensing system was developed. Moreover, the locations of PD sources can be discovered with time-difference localisation technique [5][6][7][8][9][10][11][12][13][14][15][16][17][18]. The time difference of arrival (TDOA) between received signals can be estimated, and the locations of sources are determined by solving intersection points of TDOA hyperbolas.…”