Fault diagnosis of rectifier circuit based on DGWO-BVM algorithm

In order to quickly and accurately identify the thyristor faults in three-phase bridge rectifier circuits, this paper proposes a fault diagnosis model based on DGWO-BVM algorithm.Firstly, the fault voltage signal is decomposed in three layers by wavelet packet transform and normalized. The extracted feature vector is taken as the model input vector;The fault diagnosis model is constructed by using the advantages of the ball vector machine (BVM) in solving multi-classification problems.The parameters of the BVM model were selected by the Grey Wolf optimization algorithm (DGWO) which enhanced the leader's decision-making ability.Finally, the model is tested by the test sample set and compared with other algorithms. Experiments show that this model can improve the accuracy of fault diagnosis, reduce the time of diagnosis, and has strong matching and reliability.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1117/12.3065054
Primary Topic
Image Processing Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Fault diagnosis of rectifier circuit based on DGWO-BVM algorithm

Lijuan Cai
Image Processing Techniques and Applications
article

Fault diagnosis of rectifier circuit based on DGWO-BVM algorithm

Lijuan Cai
article en

Abstract

In order to quickly and accurately identify the thyristor faults in three-phase bridge rectifier circuits, this paper proposes a fault diagnosis model based on DGWO-BVM algorithm.Firstly, the fault voltage signal is decomposed in three layers by wavelet packet transform and normalized. The extracted feature vector is taken as the model input vector;The fault diagnosis model is constructed by using the advantages of the ball vector machine (BVM) in solving multi-classification problems.The parameters of the BVM model were selected by the Grey Wolf optimization algorithm (DGWO) which enhanced the leader's decision-making ability.Finally, the model is tested by the test sample set and compared with other algorithms. Experiments show that this model can improve the accuracy of fault diagnosis, reduce the time of diagnosis, and has strong matching and reliability.

Chongqing University of Posts and Telecommunications (CN)
Climate action
Openalex Percentile: Top 89%
Image Processing Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.