A Partial Discharge Localization Method Based on the Improved Artificial Fish Swarms Algorithm
Accurate localization of partial discharge in GIS equipment remains a key focus of daily maintenance for substations, which can be achieved through advanced detection and location techniques, as well as regular maintenance and testing of the equipment. However, there is currently an issue with low a...
Main Authors: | Hao Qiang, Qun Wang, Hui Niu, Zhaoqi Wang, Jianfeng Zheng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-03-01
|
Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/16/6/2928 |
Similar Items
-
Research on a Partial Discharge Expert System for the Diagnosis of Damaged Transformation Equipment
by: Ping-Chang Tsai, et al.
Published: (2024-01-01) -
Parameter Optimization of Centrifugal Pump Splitter Blades with Artificial Fish Swarm Algorithm
by: Qidi Ke, et al.
Published: (2023-05-01) -
Optimization of Antenna Array Deployment for Partial Discharge Localization in Substations by Hybrid Particle Swarm Optimization and Genetic Algorithm Method
by: Mingxiao Zhu, et al.
Published: (2018-07-01) -
Partial Discharge Localization Techniques: A Review of Recent Progress
by: Jun Qiang Chan, et al.
Published: (2023-03-01) -
Damage Monitoring of Braided Composites Using CNT Yarn Sensor Based on Artificial Fish Swarm Algorithm
by: Hongxia Wang, et al.
Published: (2023-08-01)