Online 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/TIA.2019.2911252

Online 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

School of Electrical Engineering

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

48 Citations (Scopus)

Abstract

Online monitoring and diagnostics of permanent magnet synchronous motors (PMSMs) 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, online 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. The requirement of complex time-frequency analysis techniques is another limitation of MCSA for applications with speed variations. In this paper, the feasibility of using analog Hall sensor 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, even during transient conditions. Experimental testing performed on an interior permanent magnet synchronous motor (IPMSM) under eccentricity, local demagnetization, and load unbalance conditions shows that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.

Original language	English
Article number	8691471
Pages (from-to)	3803-3812
Number of pages	10
Journal	IEEE Transactions on Industry Applications
Volume	55
Issue number	4
DOIs	https://doi.org/10.1109/TIA.2019.2911252
Publication status	Published - 2019 Jul 1

Bibliographical note

Funding Information:
Dr. Fernandez was the recipient of the fellowship of the Personnel Research Training Program funded by the Regional Ministry of Education and Science of the Principality of As-turias, in 2013, and four IEEE Industry Applications Society Conference Prize Paper Awards.

Funding Information:
Manuscript received October 5, 2018; revised January 8, 2019 and February 12, 2019; accepted April 8, 2019. Date of publication April 14, 2019; date of current version June 29, 2019. Paper 2018-IDC-1024.R2, presented at the 2018 IEEE Energy Conversion Congress and Exposition, Sep. 23–27, Portland, OR, USA, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Industrial Drives Committee of the IEEE Industry Applications Society. This work was supported by the “Human Resources Program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning, funded by the Ministry of Trade, Industry & Energy, South Korea under Grant 20174030201820. (Corresponding author: Sang Bin Lee.) Y. Park, C. Yang, and S. B. Lee are with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: yonghyun.park@ eecs.korea.ac.kr; chanseung.yang@eecs.korea.ac.kr; sangbinlee@korea.ac.kr).

Publisher Copyright:
© 1972-2012 IEEE.

Keywords

Axial leakage flux
Hall effect sensor
PM synchronous motor (PMSM)
condition monitoring
fault classification
load unbalance
permanent magnet (PM) demagnetization
rotor eccentricity

ASJC Scopus subject areas

Control and Systems Engineering
Industrial and Manufacturing Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/TIA.2019.2911252

Cite this

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title = "Online detection and classification of rotor and load defects in PMSMs Based on Hall sensor measurements",

abstract = "Online monitoring and diagnostics of permanent magnet synchronous motors (PMSMs) 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, online 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. The requirement of complex time-frequency analysis techniques is another limitation of MCSA for applications with speed variations. In this paper, the feasibility of using analog Hall sensor 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, even during transient conditions. Experimental testing performed on an interior permanent magnet synchronous motor (IPMSM) under eccentricity, local demagnetization, and load unbalance conditions shows that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.",

keywords = "Axial leakage flux, Hall effect sensor, PM synchronous motor (PMSM), condition monitoring, fault classification, load unbalance, permanent magnet (PM) demagnetization, 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",

note = "Funding Information: Dr. Fernandez was the recipient of the fellowship of the Personnel Research Training Program funded by the Regional Ministry of Education and Science of the Principality of As-turias, in 2013, and four IEEE Industry Applications Society Conference Prize Paper Awards. Funding Information: Manuscript received October 5, 2018; revised January 8, 2019 and February 12, 2019; accepted April 8, 2019. Date of publication April 14, 2019; date of current version June 29, 2019. Paper 2018-IDC-1024.R2, presented at the 2018 IEEE Energy Conversion Congress and Exposition, Sep. 23–27, Portland, OR, USA, and approved for publication in the IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS by the Industrial Drives Committee of the IEEE Industry Applications Society. This work was supported by the “Human Resources Program in Energy Technology” of the Korea Institute of Energy Technology Evaluation and Planning, funded by the Ministry of Trade, Industry & Energy, South Korea under Grant 20174030201820. (Corresponding author: Sang Bin Lee.) Y. Park, C. Yang, and S. B. Lee are with the Department of Electrical Engineering, Korea University, Seoul 02841, South Korea (e-mail: yonghyun.park@ eecs.korea.ac.kr; chanseung.yang@eecs.korea.ac.kr; sangbinlee@korea.ac.kr). Publisher Copyright: {\textcopyright} 1972-2012 IEEE.",

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AU - Briz, Fernando

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N2 - Online monitoring and diagnostics of permanent magnet synchronous motors (PMSMs) 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, online 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. The requirement of complex time-frequency analysis techniques is another limitation of MCSA for applications with speed variations. In this paper, the feasibility of using analog Hall sensor 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, even during transient conditions. Experimental testing performed on an interior permanent magnet synchronous motor (IPMSM) under eccentricity, local demagnetization, and load unbalance conditions shows that the reliability and sensitivity of fault detection in PMSM systems can be improved at low added cost.

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Online detection and classification of rotor and load defects in PMSMs Based on Hall sensor measurements

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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