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 proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publication2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages715-721
Number of pages7
ISBN (Electronic)9781479973118
DOIs
Publication statusPublished - 2018 Dec 3
Event10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018 - Portland, United States
Duration: 2018 Sep 232018 Sep 27

Other

Other10th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2018
CountryUnited States
CityPortland
Period18/9/2318/9/27

Fingerprint

Permanent Magnet Synchronous Motor
Rotor
Synchronous motors
Signature
Rotors
Defects
Permanent magnets
Sensor
Sensors
Fault Detection
Fault detection
Monitoring
Demagnetization
Eccentricity
Asymmetry
Costs
Diagnostics
Complement
Classify
Hardware

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

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). [8557899] 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; Lee, Dong Myung; Fernandez, Daniel; Reigosa, David; Briz, Fernando.

2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 715-721 8557899.

Research output: Chapter in Book/Report/Conference proceedingConference 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, 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 https://doi.org/10.1109/ECCE.2018.8557899
Park, Yonghyun ; Yang, Chanseung ; Lee, Sang Bin ; Lee, Dong Myung ; Fernandez, Daniel ; Reigosa, David ; Briz, Fernando. / On-line Detection and Classification of Rotor and Load Defects in PMSMs based on Hall Sensor Measurements. 2018 IEEE Energy Conversion Congress and Exposition, ECCE 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 715-721
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