A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix

Sang Bin Lee, Rangarajan M. Tallam, Thomas G. Habetler

Research output: Contribution to journalArticle

177 Citations (Scopus)

Abstract

A simple and robust sensorless technique for on-line stator winding turn fault detection based on monitoring an off-diagonal term of the sequence component impedance matrix is proposed in this paper. Due to the destructive and rapidly propagating nature of insulation failure, it is critical to detect turn faults in an early stage to prevent further damage to the motor. The motor nonidealities such as the variation in the supply voltage unbalance, slip-dependent influence of inherent motor asymmetry, and measurement errors must be taken into account in order to reliably detect a turn fault in its incipient stage. Simulation and experimental results on a 5 hp induction machine are given to confirm the validity of the proposed method. It is shown that the proposed turn fault detection scheme is simple and is capable of providing reliable fault detection that is immune to the motor nonidealities.

Original languageEnglish
Pages (from-to)865-872
Number of pages8
JournalIEEE Transactions on Power Electronics
Volume18
Issue number3
DOIs
Publication statusPublished - 2003 May 1
Externally publishedYes

Fingerprint

Fault detection
Monitoring
Measurement errors
Stators
Insulation
Electric potential

Keywords

  • Induction motor
  • Insulation failure
  • Sequence components
  • Turn fault detection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix. / Lee, Sang Bin; Tallam, Rangarajan M.; Habetler, Thomas G.

In: IEEE Transactions on Power Electronics, Vol. 18, No. 3, 01.05.2003, p. 865-872.

Research output: Contribution to journalArticle

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