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

S. B. Lee, R. M. Tallam, T. G. Habetler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 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 minimize the financial loss. The motor non-idealities 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 non-idealities.

Original languageEnglish
Title of host publicationPESC Record - IEEE Annual Power Electronics Specialists Conference
Pages2217-2223
Number of pages7
DOIs
Publication statusPublished - 2001
Externally publishedYes
Event2001 IEEE 32nd Annual Power Electronics Specialists Conference - Vancouver, BC, Canada
Duration: 2001 Jun 172001 Jun 21

Publication series

NamePESC Record - IEEE Annual Power Electronics Specialists Conference
Volume4
ISSN (Print)0275-9306

Other

Other2001 IEEE 32nd Annual Power Electronics Specialists Conference
CountryCanada
CityVancouver, BC
Period01/6/1701/6/21

ASJC Scopus subject areas

  • Modelling and Simulation
  • Condensed Matter Physics
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix'. Together they form a unique fingerprint.

Cite this