On Combined PSO-SVM Models in Fault Prediction of Relay Protection Equipment

Since there are no monitoring devices in relay protection equipment of substations, it takes up a lot of manpower and material resources in operation and maintenance (O&M), and the efficiency is very low. In this paper, we solve the giving fault prediction model by applying particle swarm optimi...

Full description

Saved in:
Bibliographic Details
Published in:Circuits, systems, and signal processing systems, and signal processing, 2023-02, Vol.42 (2), p.875-891
Main Authors: Yuming, Huang, Jiaohong, Luo, Zhenguo, Ma, Bing, Tang, Keqi, Zhang, Jianyong, Zhang
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Big Data
Circuits and Systems
Efficiency
Electrical Engineering
Electricity distribution
Electronics and Microelectronics
Engineering
Failure rates
Fault diagnosis
Instrumentation
Maintenance
Model accuracy
Neural networks
Particle swarm optimization
Power supply
Prediction models
Relay
Signal processing
Signal,Image and Speech Processing
Substations
Support vector machines
System theory
Technical services
Time series
Variables
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Since there are no monitoring devices in relay protection equipment of substations, it takes up a lot of manpower and material resources in operation and maintenance (O&M), and the efficiency is very low. In this paper, we solve the giving fault prediction model by applying particle swarm optimization algorithm and support vector machine algorithm for relay protection equipment. The combined model was found to be able to establish the correlation between the variables more accurately and improve the prediction accuracy of the model by comparison. The simulation result shows that the prediction accuracy of the model is at least 91% for three different devices. The combined prediction model can not only provide strong technical support for the maintenance strategy of relay protection equipment but also improve the maintenance efficiency and reduce the failure rate of protection equipment.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-022-02056-w