Fault diagnosis techniques for permanent magnet AC machine and drives-A review of current state of the art

Seungdeog Choi; Moinul Shahidul Haque; Md Tawhid Bin Tarek; Vamsi Mulpuri; Yao Duan; Sanjoy Das; Vijay Garg; Dan M. Ionel; M. Abul Masrur; Behrooz Mirafzal; Hamid A. Toliyat

doi:10.1109/TTE.2018.2819627

Fault diagnosis techniques for permanent magnet AC machine and drives-A review of current state of the art

Seungdeog Choi, Moinul Shahidul Haque, Md Tawhid Bin Tarek, Vamsi Mulpuri, Yao Duan, Sanjoy Das, Vijay Garg, Dan M. Ionel, M. Abul Masrur, Behrooz Mirafzal, Hamid A. Toliyat

Research output: Contribution to journal › Article › peer-review

166 Scopus citations

Abstract

This paper reviews the current state of the art of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines. It also takes into account the past research on this subject as appropriate. The discussion in this paper includes issues related to common abnormalities and specific faults in PM machines and drives, such as magnet damage and demagnetization, rotor eccentricity, unbalanced magnetic pull, open- A nd short-circuit windings, and switch faults. In this paper, a detailed review is present on the sources of these faults, their analytical model and fault detection tools. Finally, an integrated methodology for condition monitoring of PM machines is discussed.

Original language	English
Pages (from-to)	444-463
Number of pages	20
Journal	IEEE Transactions on Transportation Electrification
Volume	4
Issue number	2
DOIs	https://doi.org/10.1109/TTE.2018.2819627
State	Published - Jun 2018

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

Bearing faults
condition monitoring
eccentricity
electrical machine
fault diagnosis
permanent magnet (PM)
unbalanced magnetic pull (UMP)
winding faults

ASJC Scopus subject areas

Automotive Engineering
Transportation
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/TTE.2018.2819627

Cite this

@article{bd3c116da985408e9f76942979896847,

title = "Fault diagnosis techniques for permanent magnet AC machine and drives-A review of current state of the art",

abstract = "This paper reviews the current state of the art of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines. It also takes into account the past research on this subject as appropriate. The discussion in this paper includes issues related to common abnormalities and specific faults in PM machines and drives, such as magnet damage and demagnetization, rotor eccentricity, unbalanced magnetic pull, open- A nd short-circuit windings, and switch faults. In this paper, a detailed review is present on the sources of these faults, their analytical model and fault detection tools. Finally, an integrated methodology for condition monitoring of PM machines is discussed.",

keywords = "Bearing faults, condition monitoring, eccentricity, electrical machine, fault diagnosis, permanent magnet (PM), unbalanced magnetic pull (UMP), winding faults",

author = "Seungdeog Choi and Haque, {Moinul Shahidul} and Tarek, {Md Tawhid Bin} and Vamsi Mulpuri and Yao Duan and Sanjoy Das and Vijay Garg and Ionel, {Dan M.} and Masrur, {M. Abul} and Behrooz Mirafzal and Toliyat, {Hamid A.}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2018",

month = jun,

doi = "10.1109/TTE.2018.2819627",

language = "English",

volume = "4",

pages = "444--463",

number = "2",

}

TY - JOUR

T1 - Fault diagnosis techniques for permanent magnet AC machine and drives-A review of current state of the art

AU - Choi, Seungdeog

AU - Haque, Moinul Shahidul

AU - Tarek, Md Tawhid Bin

AU - Mulpuri, Vamsi

AU - Duan, Yao

AU - Das, Sanjoy

AU - Garg, Vijay

AU - Ionel, Dan M.

AU - Masrur, M. Abul

AU - Mirafzal, Behrooz

AU - Toliyat, Hamid A.

PY - 2018/6

Y1 - 2018/6

N2 - This paper reviews the current state of the art of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines. It also takes into account the past research on this subject as appropriate. The discussion in this paper includes issues related to common abnormalities and specific faults in PM machines and drives, such as magnet damage and demagnetization, rotor eccentricity, unbalanced magnetic pull, open- A nd short-circuit windings, and switch faults. In this paper, a detailed review is present on the sources of these faults, their analytical model and fault detection tools. Finally, an integrated methodology for condition monitoring of PM machines is discussed.

AB - This paper reviews the current state of the art of condition monitoring and fault diagnosis techniques for permanent magnet (PM) machines. It also takes into account the past research on this subject as appropriate. The discussion in this paper includes issues related to common abnormalities and specific faults in PM machines and drives, such as magnet damage and demagnetization, rotor eccentricity, unbalanced magnetic pull, open- A nd short-circuit windings, and switch faults. In this paper, a detailed review is present on the sources of these faults, their analytical model and fault detection tools. Finally, an integrated methodology for condition monitoring of PM machines is discussed.

KW - Bearing faults

KW - condition monitoring

KW - eccentricity

KW - electrical machine

KW - fault diagnosis

KW - permanent magnet (PM)

KW - unbalanced magnetic pull (UMP)

KW - winding faults

UR - http://www.scopus.com/inward/record.url?scp=85048216564&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048216564&partnerID=8YFLogxK

U2 - 10.1109/TTE.2018.2819627

DO - 10.1109/TTE.2018.2819627

M3 - Article

AN - SCOPUS:85048216564

VL - 4

SP - 444

EP - 463

JO - IEEE Transactions on Transportation Electrification

JF - IEEE Transactions on Transportation Electrification

IS - 2

ER -

Fault diagnosis techniques for permanent magnet AC machine and drives-A review of current state of the art

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this