Condition-based maintenance of electrical machines

Jeffery L. Kohler, Joseph Sottile, Frederick C. Trutt

Research output: Contribution to journalArticle

23 Citations (Scopus)

Abstract

Twenty-five years ago, the former U.S. Bureau of Mines funded a research project aimed at developing the enabling technology for incipient failure prediction in electric power system components as a means of reducing the injuries and fatalities that sometimes occur when equipment malfunctions. Over the ensuing years, interest in this has waxed and waned, but recently interest has been growing for both civilian and military applications. This paper addresses the level of turn-to-turn insulation deterioration that can be resolved using an on-line monitoring technique. The detection of turn-to-turn defects is especially important because they are believed to represent the beginning stage of most motor winding failures.

Original languageEnglish (US)
Pages (from-to)205-211
Number of pages7
JournalConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Volume1
StatePublished - 1999

Fingerprint

Military applications
Electric power systems
Deterioration
Insulation
Defects
Monitoring

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

Cite this

Kohler, Jeffery L. ; Sottile, Joseph ; Trutt, Frederick C. / Condition-based maintenance of electrical machines. In: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society). 1999 ; Vol. 1. pp. 205-211.
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Condition-based maintenance of electrical machines. / Kohler, Jeffery L.; Sottile, Joseph; Trutt, Frederick C.

In: Conference Record - IAS Annual Meeting (IEEE Industry Applications Society), Vol. 1, 1999, p. 205-211.

Research output: Contribution to journalArticle

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