Evaluating the Interturn and Eccentricity Fault Indices in the Stator Current and the Embedded Controller Signals of a Micro-DFIG

This work presents a micro-based doubly fed induction generator (DFIG) test rig developed for fault diagnostic purposes. Experiments have been conducted by emulating the stator interturn short circuit (ITSC), rotor ITSC, and static eccentricity (SE) fault conditions on the micro-DFIG. The novelty of this work lies in the use of the various DFIG controller signals, in addition to the stator current signal which has extensively been used in previous investigations for fault detection. Another contribution is in identifying which signal is best suited for diagnosing different electromechanical faults in the micro-DFIG operating at sub-synchronous and super-synchronous speeds, while also injecting different amounts of active power into the grid. The comparative studies conducted in this work have illustrated that the stator current and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-axis component of the rotor current error (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$error_{Irq}$</tex-math></inline-formula>) signals were best suited for diagnosing the ITSC and SE faults, whereby the sensitivity of the fault indices in these signals was more significant at lower speeds. Overall, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ (1-2s)f_{s}$</tex-math></inline-formula> index in the stator current signal was identified to adequately detect stator ITSC faults at different power levels, whereas for the rotor ITSC fault, it is the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2sf_{s}$</tex-math></inline-formula> index in the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$error_{Irq}$</tex-math></inline-formula> that is recommended for fault diagnosis. For the SE fault condition, it is the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$f_{s}\pm f_{r}$</tex-math></inline-formula> index in the stator current signal that is recommended for use at different power levels. The use of multiple fault diagnosis signals and their extended sensitivity analysis under different DFIG operating conditions significantly improves upon existing diagnosis techniques, offering more robust and reliable fault detection in DFIGs.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Industry Applications
Published
2024-09-17
DOI
https://doi.org/10.1109/tia.2024.3462927
Citations
4
Primary Topic
Non-Destructive Testing Techniques
Type
article
Field-Weighted Citation Impact
0.85
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Interturn and Eccentricity Fault Indices in the Stator Current and the Embedded Controller Signals of a Micro-DFIG

Paul Barendse, Azeem Khan, Ester Hamatwi
4 citations
IEEE Transactions on Industry Applications
Non-Destructive Testing Techniques
0.85
article

Evaluating the Interturn and Eccentricity Fault Indices in the Stator Current and the Embedded Controller Signals of a Micro-DFIG

Paul Barendse, Azeem Khan, Ester Hamatwi
article en
4 citations

Abstract

This work presents a micro-based doubly fed induction generator (DFIG) test rig developed for fault diagnostic purposes. Experiments have been conducted by emulating the stator interturn short circuit (ITSC), rotor ITSC, and static eccentricity (SE) fault conditions on the micro-DFIG. The novelty of this work lies in the use of the various DFIG controller signals, in addition to the stator current signal which has extensively been used in previous investigations for fault detection. Another contribution is in identifying which signal is best suited for diagnosing different electromechanical faults in the micro-DFIG operating at sub-synchronous and super-synchronous speeds, while also injecting different amounts of active power into the grid. The comparative studies conducted in this work have illustrated that the stator current and the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$q$</tex-math></inline-formula>-axis component of the rotor current error (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$error_{Irq}$</tex-math></inline-formula>) signals were best suited for diagnosing the ITSC and SE faults, whereby the sensitivity of the fault indices in these signals was more significant at lower speeds. Overall, the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$ (1-2s)f_{s}$</tex-math></inline-formula> index in the stator current signal was identified to adequately detect stator ITSC faults at different power levels, whereas for the rotor ITSC fault, it is the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$2sf_{s}$</tex-math></inline-formula> index in the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$error_{Irq}$</tex-math></inline-formula> that is recommended for fault diagnosis. For the SE fault condition, it is the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$f_{s}\pm f_{r}$</tex-math></inline-formula> index in the stator current signal that is recommended for use at different power levels. The use of multiple fault diagnosis signals and their extended sensitivity analysis under different DFIG operating conditions significantly improves upon existing diagnosis techniques, offering more robust and reliable fault detection in DFIGs.

IEEE Transactions on Industry ApplicationsVol. 61(1)
University of Cape Town (ZA), University of Namibia (NA)
Climate action
Openalex Percentile: Top 31%
Non-Destructive Testing Techniques
0.85
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.