LIU Dan, KONG Jing, XIE Qing, et al. Optimal Design for Sparse Structural of CRPDUAS Based on Dimensionality Reduction Technology[J]. High voltageapparatus, 2016, 52(10): 80-85.
LIU Dan, KONG Jing, XIE Qing, et al. Optimal Design for Sparse Structural of CRPDUAS Based on Dimensionality Reduction Technology[J]. High voltageapparatus, 2016, 52(10): 80-85. DOI: 10.13296/j.1001-1609.hva.2016.10.014.
Optimal Design for Sparse Structural of CRPDUAS Based on Dimensionality Reduction Technology
The detection method of partial discharge(PD)ultrasonic array is a new method that applies the array sensors and array signal process technique to the PD detection. It has high signal-to-noise ratio and reliability of detection performance. Compared with the full array
the structure of sparse array detection system meeting the ac curacy of the direction is simpler and cheaper. The existing sparse structure optimization design algorithm is complex
and affects the success rate and accuracy of detection. Accordingly
a method of sparse structure optimal design for the CRPDUAS(the circular ring partial discharge ultrasonic array sensors) is presented. Firstly
the method of dimensionality reduction transforms the position of planar two-dimensional concentric ring array into one-dimensional linear array by using genetic algorithm to perform linear array search
and then restore to the concentric ring array when calculating its performance
so optimized sparse structure of circular arrays is obtained. At last
the simulated the sparse structure by music direction proves the correctness and effectiveness of the method.