On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements

Yonghyun Park; Chanseung Yang; Sang Bin Lee; Dong Myung Lee; Daniel Fernandez; David Reigosa; Fernando Briz

doi:10.1109/ECCE.2018.8557899

On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements

Yonghyun Park, Chanseung Yang, Sang Bin Lee, Dong Myung Lee, Daniel Fernandez, David Reigosa, Fernando Briz

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

3 Citations (Scopus)

Abstract

On-line monitoring and diagnostics of permanent magnet synchronous motors (PMSM) is becoming important with the increasing demand in PMSM applications. Most of the research effort focuses on motor current signature analysis (MCSA) as it can provide remote, on-line monitoring at low cost. However, all types of defects that produce asymmetries in the PMSM rotor or load produce identical rotor rotational frequency components. This is a serious limitation when applying MCSA since it can produce false indications and degrade the sensitivity of fault detection. In this paper, the feasibility of using analog Hall sensors signals to complement MCSA for detection and classification of rotor and load related defects is investigated. It is shown that Hall sensors installed in machines for initial rotor position estimation can be used with minimal hardware modifications, to detect and classify signatures produced by the rotor and load, for cases where MCSA fails. Experimental testing performed on an IPMSM under eccentricity, local demagnetization, and load unbalance conditions show that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.

Original language	English
Title of host publication	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	715-721
Number of pages	7
ISBN (Electronic)	9781479973118
DOIs	https://doi.org/10.1109/ECCE.2018.8557899
Publication status	Published - 2018 Dec 3
Event	10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States Duration: 2018 Sept 23 → 2018 Sept 27

Publication series

Name	2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

Other

Other	10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
Country/Territory	United States
City	Portland
Period	18/9/23 → 18/9/27

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

Axial Leakage Flux
Fault Classification
Hall Effect Sensor
Load Unbalance
PM Demagnetization
PM Synchronous Motor
Rotor Eccentricity

ASJC Scopus subject areas

Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Control and Optimization
Computer Networks and Communications
Hardware and Architecture
Information Systems and Management

UN SDGs

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

Access to Document

10.1109/ECCE.2018.8557899

Cite this

Park, Y., Yang, C., Lee, S. B., Lee, D. M., Fernandez, D., Reigosa, D., & Briz, F. (2018). On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018 (pp. 715-721). Article 8557899 (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE.2018.8557899

On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements. / Park, Yonghyun; Yang, Chanseung; Lee, Sang Bin et al.
2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 715-721 8557899 (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018).

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

Park, Y, Yang, C, Lee, SB, Lee, DM, Fernandez, D, Reigosa, D & Briz, F 2018, On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements. in 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018., 8557899, 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018, Institute of Electrical and Electronics Engineers Inc., pp. 715-721, 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018, Portland, United States, 18/9/23. https://doi.org/10.1109/ECCE.2018.8557899

Park Y, Yang C, Lee SB, Lee DM, Fernandez D, Reigosa D et al. On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements. In 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 715-721. 8557899. (2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018). doi: 10.1109/ECCE.2018.8557899

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title = "On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements",

abstract = "On-line monitoring and diagnostics of permanent magnet synchronous motors (PMSM) is becoming important with the increasing demand in PMSM applications. Most of the research effort focuses on motor current signature analysis (MCSA) as it can provide remote, on-line monitoring at low cost. However, all types of defects that produce asymmetries in the PMSM rotor or load produce identical rotor rotational frequency components. This is a serious limitation when applying MCSA since it can produce false indications and degrade the sensitivity of fault detection. In this paper, the feasibility of using analog Hall sensors signals to complement MCSA for detection and classification of rotor and load related defects is investigated. It is shown that Hall sensors installed in machines for initial rotor position estimation can be used with minimal hardware modifications, to detect and classify signatures produced by the rotor and load, for cases where MCSA fails. Experimental testing performed on an IPMSM under eccentricity, local demagnetization, and load unbalance conditions show that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.",

keywords = "Axial Leakage Flux, Fault Classification, Hall Effect Sensor, Load Unbalance, PM Demagnetization, PM Synchronous Motor, Rotor Eccentricity",

author = "Yonghyun Park and Chanseung Yang and Lee, \{Sang Bin\} and Lee, \{Dong Myung\} and Daniel Fernandez and David Reigosa and Fernando Briz",

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AU - Fernandez, Daniel

AU - Reigosa, David

AU - Briz, Fernando

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N2 - On-line monitoring and diagnostics of permanent magnet synchronous motors (PMSM) is becoming important with the increasing demand in PMSM applications. Most of the research effort focuses on motor current signature analysis (MCSA) as it can provide remote, on-line monitoring at low cost. However, all types of defects that produce asymmetries in the PMSM rotor or load produce identical rotor rotational frequency components. This is a serious limitation when applying MCSA since it can produce false indications and degrade the sensitivity of fault detection. In this paper, the feasibility of using analog Hall sensors signals to complement MCSA for detection and classification of rotor and load related defects is investigated. It is shown that Hall sensors installed in machines for initial rotor position estimation can be used with minimal hardware modifications, to detect and classify signatures produced by the rotor and load, for cases where MCSA fails. Experimental testing performed on an IPMSM under eccentricity, local demagnetization, and load unbalance conditions show that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.

AB - On-line monitoring and diagnostics of permanent magnet synchronous motors (PMSM) is becoming important with the increasing demand in PMSM applications. Most of the research effort focuses on motor current signature analysis (MCSA) as it can provide remote, on-line monitoring at low cost. However, all types of defects that produce asymmetries in the PMSM rotor or load produce identical rotor rotational frequency components. This is a serious limitation when applying MCSA since it can produce false indications and degrade the sensitivity of fault detection. In this paper, the feasibility of using analog Hall sensors signals to complement MCSA for detection and classification of rotor and load related defects is investigated. It is shown that Hall sensors installed in machines for initial rotor position estimation can be used with minimal hardware modifications, to detect and classify signatures produced by the rotor and load, for cases where MCSA fails. Experimental testing performed on an IPMSM under eccentricity, local demagnetization, and load unbalance conditions show that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.

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KW - Load Unbalance

KW - PM Demagnetization

KW - PM Synchronous Motor

KW - Rotor Eccentricity

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BT - 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018

Y2 - 23 September 2018 through 27 September 2018

ER -

On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements

Abstract

Publication series

Other

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this