Prediction of electrical behavior in deteriorating induction motors

Frederick C. Trutt, Carlos Santa Cruz, Jeffrey L. Kohler, Joseph Sottile

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

1 Scopus citations

Abstract

Methods for predicting electrical behavior in deteriorating induction machines are reviewed. The procedures require the assumption of a specific load speed, and the electrical operating parameters are calculated using models developed for this purpose. The approaches are general in that an arbitrary number of winding deterioration processes may be simulated on the stator and/or rotor. Forms of deterioration can include high or low impedance leakage between phases, between coils in a single phase, or between a phase and ground. Verification includes comparison with experimental data taken on motors that have been modeled as well as with data on motors that have not been specifically simulated. One application of this analysis is the generation of databases required to design and develop performance monitoring, deterioration detection, or deterioration classification systems for critical motor installations.

Original languageEnglish (US)
Title of host publicationConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
PublisherPubl by IEEE
Pages1408-1412
Number of pages5
Editionpt 2
ISBN (Print)0879425539
StatePublished - 1990
Event1990 IEEE Industry Applications Society Annual Meeting - IAS-25 Part 2 (of 2) - Seattle, WA, USA
Duration: Oct 7 1990Oct 12 1990

Publication series

NameConference Record - IAS Annual Meeting (IEEE Industry Applications Society)
Numberpt 2
ISSN (Print)0160-8592

Other

Other1990 IEEE Industry Applications Society Annual Meeting - IAS-25 Part 2 (of 2)
CitySeattle, WA, USA
Period10/7/9010/12/90

All Science Journal Classification (ASJC) codes

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

Fingerprint

Dive into the research topics of 'Prediction of electrical behavior in deteriorating induction motors'. Together they form a unique fingerprint.

Cite this