Airgap Search Coil Based Identification of PM Synchronous Motor Defects

Online detection of rotor and load faults in permanent magnet synchronous motors (PMSM) based on spectrum analysis of current or vibration is not capable of identifying the root cause of the fault, since all faults produce identical fault signatures. The sensitivity of fault detection also depends o...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 69; no. 7; pp. 6551 - 6560
Main Authors Rafaq, Muhammad Saad, Lee, Hyeonjun, Park, Yonghyun, Lee, Sang-Bin, Orviz Zapico, Marcos, Fernandez, Daniel, Diaz-Reigosa, David, Briz, Fernando
Format Journal Article
LanguageEnglish
Published New York IEEE 01.07.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Air gaps
Airgap flux
Coils
Control systems design
Demagnetization
eccentricity
Fault detection
fault diagnosis
Induction motors
Load limits
load unbalance
permanent magnet synchronous motors
Permanent magnets
Reliability
Rotors
search coil
Spectrum analysis
Stator windings
Stators
Synchronous motors
Vibration analysis
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Summary:Online detection of rotor and load faults in permanent magnet synchronous motors (PMSM) based on spectrum analysis of current or vibration is not capable of identifying the root cause of the fault, since all faults produce identical fault signatures. The sensitivity of fault detection also depends on the motor and controller design making fault detection unreliable. In addition, operation under variable frequency and load limits the effectiveness of spectrum analysis based methods. In this article, airgap flux monitoring is investigated as an alternative for providing reliable identification of rotor and load faults in PMSMs. Based on the analysis of airgap flux under partial and uniform demagnetization, dynamic eccentricity, and load unbalance, an airgap search coil voltage based method for detection and classification of the faults is proposed. The claims made in the article are verified through experimental testing on an IPMSM under emulated fault conditions along with a comparison to vibration and current spectra-based detection. It is shown that the proposed method provides reliable online identification of the faults for cases where conventional spectrum analysis based methods fail.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2021.3095810