Title: A method for power equipment condition monitoring and fault location based on improved ant colony algorithm

Authors: Wei Tong; Qi-ping Huang

Addresses: School of Computer Engineering, Anhui Wenda Information Engineering College, Anhui, Hefei, 231201, China ' Electrical Engineering Department, Anhui Electrical Engineering Professional Technique College, Anhui, Hefei, 230051, China

Abstract: Different malfunctions may arise during the operation of power equipment, impacting the quality and dependability of the power supply. Conventional monitoring techniques face challenges, prompting the introduction of a novel power equipment monitoring and fault localisation method based on an enhanced ant colony algorithm. This approach entails gathering operational signals from the power equipment and amalgamating singular value decomposition with particle filtering methods to oversee the equipment's condition. Through enhancements to the pheromone configuration and update approach of the ant colony algorithm, a fault localisation assessment function is formulated to achieve precise fault localisation. Empirical findings have illustrated that this method has the capability to promptly monitor equipment status and attain fault localisation accuracy surpassing 90%.

Keywords: improving ant colony algorithm; electrical equipment; condition monitoring; fault location.

DOI: 10.1504/IJETP.2024.141388

International Journal of Energy Technology and Policy, 2024 Vol.19 No.3/4, pp.363 - 376

Received: 17 Nov 2023
Accepted: 22 Mar 2024
Published online: 10 Sep 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article