Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*

Waseem El Sayed; Ahmed Aboelhassan; Amr Madi; Ahmed Hebala; Michael Galea

doi:10.1109/WEMDCD51469.2021.9425684

Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*

Waseem El Sayed
, Ahmed Aboelhassan
, Amr Madi
, Ahmed Hebala
, Michael Galea

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

14 Citations (Scopus)

Abstract

This paper investigates the detection of inter-turn phase faults in Permanent Magnet Synchronous Generators (PMSGs) using the Unscented Kalman Filter (UKF) compared to the Extended Kalman Filter (EKF). PMSGs are subject to several faults such as bearing, eccentricity, demagnetization, short circuit, and inter-turn faults. Accurate and early detection of the fault type is crucial for robust operation. Several techniques can detect these faults. UKF and EKF are presented here as one of the model-based fault diagnosis techniques. In the presented simulation, a comparison between the UKF and EKF estimation response of the fault has been shown. Both techniques have provided the ability to detect the inter-turn fault with the proposed PMSG fault model. However, the difference between the estimation response accuracy and speed plays an important role to decide the most effective technique.

Original language	English
Title of host publication	Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	243-248
Number of pages	6
ISBN (Electronic)	9781728176154
DOIs	https://doi.org/10.1109/WEMDCD51469.2021.9425684
Publication status	Published - 8 Apr 2021
Event	2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021 - Virtual, Modena, Italy Duration: 8 Apr 2021 → 9 Apr 2021

Publication series

Name	Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021

Conference

Conference	2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021
Country/Territory	Italy
City	Virtual, Modena
Period	8/04/21 → 9/04/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Free Keywords

Extended Kalman Filter (EKF)
Fault detection
Inter-turn fault
PMSG
Unscented Kalman Filter (UKF)

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

Access to Document

10.1109/WEMDCD51469.2021.9425684

Cite this

Sayed, W. E., Aboelhassan, A., Madi, A., Hebala, A., & Galea, M. (2021). Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*. In Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021 (pp. 243-248). Article 9425684 (Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WEMDCD51469.2021.9425684

Sayed, Waseem El ; Aboelhassan, Ahmed ; Madi, Amr et al. / Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*. Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 243-248 (Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021).

@inproceedings{38017f5772444433933adcac17a6314b,

title = "Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*",

abstract = "This paper investigates the detection of inter-turn phase faults in Permanent Magnet Synchronous Generators (PMSGs) using the Unscented Kalman Filter (UKF) compared to the Extended Kalman Filter (EKF). PMSGs are subject to several faults such as bearing, eccentricity, demagnetization, short circuit, and inter-turn faults. Accurate and early detection of the fault type is crucial for robust operation. Several techniques can detect these faults. UKF and EKF are presented here as one of the model-based fault diagnosis techniques. In the presented simulation, a comparison between the UKF and EKF estimation response of the fault has been shown. Both techniques have provided the ability to detect the inter-turn fault with the proposed PMSG fault model. However, the difference between the estimation response accuracy and speed plays an important role to decide the most effective technique.",

keywords = "Extended Kalman Filter (EKF), Fault detection, Inter-turn fault, PMSG, Unscented Kalman Filter (UKF)",

author = "Sayed, \{Waseem El\} and Ahmed Aboelhassan and Amr Madi and Ahmed Hebala and Michael Galea",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021 ; Conference date: 08-04-2021 Through 09-04-2021",

year = "2021",

month = apr,

day = "8",

doi = "10.1109/WEMDCD51469.2021.9425684",

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Sayed, WE, Aboelhassan, A, Madi, A, Hebala, A & Galea, M 2021, Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*. in Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021., 9425684, Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021, Institute of Electrical and Electronics Engineers Inc., pp. 243-248, 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021, Virtual, Modena, Italy, 8/04/21. https://doi.org/10.1109/WEMDCD51469.2021.9425684

Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*. / Sayed, Waseem El; Aboelhassan, Ahmed; Madi, Amr et al.
Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 243-248 9425684 (Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021).

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*

AU - Sayed, Waseem El

AU - Aboelhassan, Ahmed

AU - Madi, Amr

AU - Hebala, Ahmed

AU - Galea, Michael

PY - 2021/4/8

Y1 - 2021/4/8

N2 - This paper investigates the detection of inter-turn phase faults in Permanent Magnet Synchronous Generators (PMSGs) using the Unscented Kalman Filter (UKF) compared to the Extended Kalman Filter (EKF). PMSGs are subject to several faults such as bearing, eccentricity, demagnetization, short circuit, and inter-turn faults. Accurate and early detection of the fault type is crucial for robust operation. Several techniques can detect these faults. UKF and EKF are presented here as one of the model-based fault diagnosis techniques. In the presented simulation, a comparison between the UKF and EKF estimation response of the fault has been shown. Both techniques have provided the ability to detect the inter-turn fault with the proposed PMSG fault model. However, the difference between the estimation response accuracy and speed plays an important role to decide the most effective technique.

AB - This paper investigates the detection of inter-turn phase faults in Permanent Magnet Synchronous Generators (PMSGs) using the Unscented Kalman Filter (UKF) compared to the Extended Kalman Filter (EKF). PMSGs are subject to several faults such as bearing, eccentricity, demagnetization, short circuit, and inter-turn faults. Accurate and early detection of the fault type is crucial for robust operation. Several techniques can detect these faults. UKF and EKF are presented here as one of the model-based fault diagnosis techniques. In the presented simulation, a comparison between the UKF and EKF estimation response of the fault has been shown. Both techniques have provided the ability to detect the inter-turn fault with the proposed PMSG fault model. However, the difference between the estimation response accuracy and speed plays an important role to decide the most effective technique.

KW - Extended Kalman Filter (EKF)

KW - Fault detection

KW - Inter-turn fault

KW - PMSG

KW - Unscented Kalman Filter (UKF)

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DO - 10.1109/WEMDCD51469.2021.9425684

M3 - Conference contribution

AN - SCOPUS:85106588724

T3 - Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021

SP - 243

EP - 248

BT - Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021

Y2 - 8 April 2021 through 9 April 2021

ER -

Sayed WE, Aboelhassan A, Madi A, Hebala A, Galea M. Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*. In Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 243-248. 9425684. (Proceedings - 2021 IEEE Workshop on Electrical Machines Design, Control and Diagnosis, WEMDCD 2021). doi: 10.1109/WEMDCD51469.2021.9425684

Comparative analysis between unscented and extended kalman filters for pmsg inter-turn fault detection*

Abstract

Publication series

Conference

UN SDGs

Free Keywords

ASJC Scopus subject areas

Access to Document

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