Detection of eccentricity faults in induction machines based on nameplate parameters

Subhasis Nandi, Thirumarai Chelvan Ilamparithi, Sang Bin Lee, Doosoo Hyun

Research output: Contribution to journalArticle

105 Citations (Scopus)

Abstract

Eccentricity-related faults in induction motors have been studied extensively over the last few decades. They can exist in the form of static or dynamic eccentricity or both, in which case it is called a mixed eccentricity fault. These faults cause bearing damage, excessive vibration and noise, unbalanced magnetic pull, and under extreme conditions, statorrotor rub which may seriously damage the motors. Since eccentricity faults are often associated with large induction machines, the repair or replacement costs arising out of such a scenario may easily run into tens and thousands of dollars. Previous research works have shown that it is extremely difficult to detect such faults if they appear individually, rather than in mixed form, unless the number of rotor bars and the pole-pair number conform to certain relationships. In this paper, it is shown that the terminal voltages of induction machines at switch-off reveal certain features that can lead to the detection of these faults in individual form, even in machines that do not show these signatures in line-current spectrum in steady state, or to the detection of the main contributory factor in case of mixed eccentricity.

Original languageEnglish
Article number5499005
Pages (from-to)1673-1683
Number of pages11
JournalIEEE Transactions on Industrial Electronics
Volume58
Issue number5
DOIs
Publication statusPublished - 2011 May 1

Fingerprint

Bearings (structural)
Nameplates
Induction motors
Poles
Repair
Rotors
Switches
Electric potential
Costs

Keywords

  • Dynamic and mixed eccentricity faults
  • fault diagnosis
  • induction-motor protection
  • Modified Winding Function Approach
  • motor current signature analysis (MCSA)
  • power spectral density
  • Short-Time Fourier Transform (STFT)
  • spectral analysis
  • static
  • Switch-off Voltage Transient Analysis
  • unbalanced magnetic pull (UMP)

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Computer Science Applications

Cite this

Detection of eccentricity faults in induction machines based on nameplate parameters. / Nandi, Subhasis; Ilamparithi, Thirumarai Chelvan; Lee, Sang Bin; Hyun, Doosoo.

In: IEEE Transactions on Industrial Electronics, Vol. 58, No. 5, 5499005, 01.05.2011, p. 1673-1683.

Research output: Contribution to journalArticle

Nandi, Subhasis ; Ilamparithi, Thirumarai Chelvan ; Lee, Sang Bin ; Hyun, Doosoo. / Detection of eccentricity faults in induction machines based on nameplate parameters. In: IEEE Transactions on Industrial Electronics. 2011 ; Vol. 58, No. 5. pp. 1673-1683.
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