Detection and classification of rotor demagnetization and eccentricity faults for PM synchronous motors

Jongman Hong, Sanguk Park, Doosoo Hyun, Tae June Kang, Sang Bin Lee, Christian Kral, Anton Haumer

Research output: Contribution to journalArticle

94 Citations (Scopus)

Abstract

Condition monitoring of rotor problems such as demagnetization and eccentricity in permanent-magnet synchronous motors (PMSMs) is essential for guaranteeing high motor performance, efficiency, and reliability. However, there are many limitations to the offline and online methods currently used for PMSM rotor quality assessment. In this paper, an inverter-embedded technique for automated detection and classification of PMSM rotor faults is proposed as an alternative. The main concept is to use the inverter to perform a test whenever the motor is stopped and to detect rotor faults independent of operating conditions or load torque oscillations, which is not possible with motor current signature analysis (MCSA). The d-axis is excited with a direct- current+alternating-current signal, and the variation in the inductance pattern due to the change in the degree of magnetic saturation caused by demagnetization or eccentricity is observed for fault detection. An experimental study on a 7.5-kW PMSM verifies that demagnetization and eccentricity can be detected and classified independent of the load with high sensitivity.

Original languageEnglish
Article number6171844
Pages (from-to)923-932
Number of pages10
JournalIEEE Transactions on Industry Applications
Volume48
Issue number3
DOIs
Publication statusPublished - 2012 May 28

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Keywords

  • Alternating-current (ac) machine
  • condition monitoring
  • d-axis inductance
  • demagnetization
  • eccentricity
  • magnetic saturation
  • permanent magnet (PM)
  • synchronous motor (SM)

ASJC Scopus subject areas

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

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