On the Shaft Voltage to Detect Faults in Wind Generators

The aim of this paper is to present the first insights coming from an experimental research focused on the investigation of the shaft voltage measurement and analysis as a diagnostic tool for wind generators. Since in wind farms the rotating electrical machine is usually a doubly-fed induction generator or a permanent magnet synchronous generator, it is connected to the grid through an electronic converter, which produces a common mode voltage and, consequently, a shaft voltage. In this paper, the correlation between these two signals will be shown in detail, through the analysis of experimental measurements in laboratory, which demonstrate the strong diagnostic content of the shaft voltage signal. The harmonic analysis of this signal, both at low and high frequencies, is proposed as a new index for the preventive maintenance in wind power generation.

Authors

Institutions

Publication Details

Published
2025-06-24
DOI
https://doi.org/10.1109/iccep65222.2025.11143629
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On the Shaft Voltage to Detect Faults in Wind Generators

Lorenzo Mantione, F. Muzio, Gabriele De Boni, Lucia Frosini et al.
Machine Fault Diagnosis Techniques
article

On the Shaft Voltage to Detect Faults in Wind Generators

Lorenzo Mantione, F. Muzio, Gabriele De Boni, Lucia Frosini, Marco Trombetta
article en

Abstract

The aim of this paper is to present the first insights coming from an experimental research focused on the investigation of the shaft voltage measurement and analysis as a diagnostic tool for wind generators. Since in wind farms the rotating electrical machine is usually a doubly-fed induction generator or a permanent magnet synchronous generator, it is connected to the grid through an electronic converter, which produces a common mode voltage and, consequently, a shaft voltage. In this paper, the correlation between these two signals will be shown in detail, through the analysis of experimental measurements in laboratory, which demonstrate the strong diagnostic content of the shaft voltage signal. The harmonic analysis of this signal, both at low and high frequencies, is proposed as a new index for the preventive maintenance in wind power generation.

University of Pavia (IT)
Openalex Percentile: Top 71%
Machine Fault Diagnosis Techniques
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.