A Diagnostic Method for Inter-Turn Short Circuit Faults Based on High Frequency Park Vectors

Stator winding inter-turn short-circuit fault (ITSCF) is one of the most severe faults of permanent magnet (PM) machines, which needs to be detected quickly and reliably. This paper analyzes the Park vector under healthy and faulty conditions and point out that the fault signature can be strengthen when high frequency (HF) conditions. In order to extract the optimal fault characteristic signal, a three-phase symmetrical HF voltage is injected into the drives. Then, the HF Park vector is calculated by extracting three-phase HF current component in real time. Compared to the current Park vector at low frequencies, the fault characteristics exhibited by the current vector at HF are more significantly. The effectiveness and robustness of the proposed detection method is verified under various load and speed conditions via a triple 3-phase PM machine drives.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.23919/icems60997.2024.10921257
Citations
1
Primary Topic
Power Systems Fault Detection
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Diagnostic Method for Inter-Turn Short Circuit Faults Based on High Frequency Park Vectors

Xiaobao Feng, Rongxin Wang, Dewen Tian, Bo Wang et al.
1 citations
Power Systems Fault Detection
0.33
article

A Diagnostic Method for Inter-Turn Short Circuit Faults Based on High Frequency Park Vectors

Xiaobao Feng, Rongxin Wang, Dewen Tian, Bo Wang, Zihan Wei
article en
1 citations

Abstract

Stator winding inter-turn short-circuit fault (ITSCF) is one of the most severe faults of permanent magnet (PM) machines, which needs to be detected quickly and reliably. This paper analyzes the Park vector under healthy and faulty conditions and point out that the fault signature can be strengthen when high frequency (HF) conditions. In order to extract the optimal fault characteristic signal, a three-phase symmetrical HF voltage is injected into the drives. Then, the HF Park vector is calculated by extracting three-phase HF current component in real time. Compared to the current Park vector at low frequencies, the fault characteristics exhibited by the current vector at HF are more significantly. The effectiveness and robustness of the proposed detection method is verified under various load and speed conditions via a triple 3-phase PM machine drives.

Southeast University (CN)
Sustainable cities and communities
Openalex Percentile: Top 36%
Power Systems Fault Detection
0.33
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.

A Diagnostic Method for Inter-Turn Short Circuit Faults Based on High Frequency Park Vectors — Xiaobao Feng, Rongxin Wang, et al. · (2024) | TGRS Research Map | TGRS