Partial Discharge Localization Based on Direct Data-Reusing TDE Algorithm With Generalized Cauchy Loss
Abstract
The presence of impulsive noise can significantly compromise the localization accuracy of partial discharge (PD). To address this problem, the direct data-reusing time-delay estimation (TDE) algorithm with the generalized Cauchy loss (GCL) function (DDR-TDE-GCL) is proposed. Leveraging the robustness of the GCL function, the proposed algorithm demonstrates a superior capability to combat impulsive interference. In addition, the direct TDE method is integrated into the data-reusing strategy. The integration enables the DDR-TDE-GCL algorithm to achieve high localization accuracy in cable systems while remaining noniterative. Moreover, the convergence behavior of the DDR-TDE-GCL algorithm is analyzed, proving that the estimation for the attenuation factor is unbiased and consistent. Simulations and experiments demonstrate that the DDR-TDE-GCL algorithm has an improved localization accuracy compared to existing algorithms for PD signals, achieving an average localization accuracy of 99.59%.
Fields of Study & Subjects
Indoor and Outdoor Localization Technologies
Advanced Adaptive Filtering Techniques
Electrical Fault Detection and Protection
Publication details
- Journal / source
- IEEE Transactions on Industrial Informatics
- Volume
- 22
- Issue
- 6
- Pages
- 5390–5401
- Publication date
- 23 February 2026
- Language
- EN