Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry

Marcos Orviz; David Reigosa; Hyeon Jun Lee; Jigyun Jeong; Sang Bin Lee; Fernando Briz

doi:10.1109/ECCE50734.2022.9947622

Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry

Marcos Orviz
, David Reigosa
, Hyeon Jun Lee
, Jigyun Jeong
, Sang Bin Lee
, Fernando Briz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Online fault detection is a highly appealing feature for electric drives. Search coils (SCs) have been shown to be a viable option for demagnetization detection for PMSMs. This paper analyses the use of SCs for the detection, classification, and severity assessment of other type of faults, including static, dynamic, and mixed eccentricity, and bearings misalignment. While these faults can be present for practically all electric machine types, the proposed method is specific for PMSMs as it relies on the measurement of magnet field using SCs.

Original language	English
Title of host publication	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728193878
DOIs	https://doi.org/10.1109/ECCE50734.2022.9947622
Publication status	Published - 2022
Event	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 - Detroit, United States Duration: 2022 Oct 9 → 2022 Oct 13

Publication series

Name	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

Conference

Conference	2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022
Country/Territory	United States
City	Detroit
Period	22/10/9 → 22/10/13

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

differential voltage
eccentricity
misalignment
search coil
zero-sequence voltage

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Safety, Risk, Reliability and Quality
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization

UN SDGs

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

Access to Document

10.1109/ECCE50734.2022.9947622

Cite this

Orviz, M., Reigosa, D., Lee, H. J., Jeong, J., Lee, S. B., & Briz, F. (2022). Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022 (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE50734.2022.9947622

Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry. / Orviz, Marcos; Reigosa, David; Lee, Hyeon Jun et al.
2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Orviz, M, Reigosa, D, Lee, HJ, Jeong, J, Lee, SB & Briz, F 2022, Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry. in 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022, Detroit, United States, 22/10/9. https://doi.org/10.1109/ECCE50734.2022.9947622

Orviz M, Reigosa D, Lee HJ, Jeong J, Lee SB, Briz F. Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry. In 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. (2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022). doi: 10.1109/ECCE50734.2022.9947622

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abstract = "Online fault detection is a highly appealing feature for electric drives. Search coils (SCs) have been shown to be a viable option for demagnetization detection for PMSMs. This paper analyses the use of SCs for the detection, classification, and severity assessment of other type of faults, including static, dynamic, and mixed eccentricity, and bearings misalignment. While these faults can be present for practically all electric machine types, the proposed method is specific for PMSMs as it relies on the measurement of magnet field using SCs.",

keywords = "differential voltage, eccentricity, misalignment, search coil, zero-sequence voltage",

author = "Marcos Orviz and David Reigosa and Lee, \{Hyeon Jun\} and Jigyun Jeong and Lee, \{Sang Bin\} and Fernando Briz",

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AU - Lee, Sang Bin

AU - Briz, Fernando

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AB - Online fault detection is a highly appealing feature for electric drives. Search coils (SCs) have been shown to be a viable option for demagnetization detection for PMSMs. This paper analyses the use of SCs for the detection, classification, and severity assessment of other type of faults, including static, dynamic, and mixed eccentricity, and bearings misalignment. While these faults can be present for practically all electric machine types, the proposed method is specific for PMSMs as it relies on the measurement of magnet field using SCs.

KW - differential voltage

KW - eccentricity

KW - misalignment

KW - search coil

KW - zero-sequence voltage

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BT - 2022 IEEE Energy Conversion Congress and Exposition, ECCE 2022

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ER -

Fault Detection and Severity Assessment in PMSMs Using Search Coils Exploiting Machine's Symmetry

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this