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Robert Gordon's Institute of Technology

Induction motor fault recognition.

Abstract

dc:description.abstract

The work presented in this thesis is based on theoretical and experimental investigations into the changes in measurable squirrel cage induction machine parameters such as vibration, line current and leakage flux which alter during machine faults. Initially a survey was conducted to determine which machine failures were of concern to industrial operators. Faults analysed in this thesis include rotor bar faults, unbalanced supply, eccentricity and interturn winding faults. Experimental results are given for each fault type. Work was also done in predicting the natural frequencies of the experimental stator using a standard finite element package. The results from this analysis were compared with experimental results and shown to be realistic. The main conclusion drawn from this thesis is that there are several differences in the parameters observed during normal and fault operation, the prediction of a fault being dependent on changes of certain components of the various signal spectra. The changes in these various components can be supported theoretically.

Degree

thesis:*
Name dc:type.qualificationname
PhD
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
Robert Gordon's Institute of Technology
Year dc:date.issued
1985

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Leonard, Raymond Alexander
Advisor dc:contributor.advisor
  • W.T. Thomson

Subjects

dc:subject × 8

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:rgu-repository.worktribe.com:1993280
https://doi.org/10.48526/rgu-wt-1993280
OAI identifier oai:identifier
oai:rgu-repository.worktribe.com:1993280

Chain of custody

source
Harvested from
Robert Gordon University
Base URL
rgu-repository.worktribe.com/oaiprovider
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Leonard, Raymond Alexander. Induction motor fault recognition.. Doctoral thesis, Robert Gordon's Institute of Technology, 1985. https://rgu-repository.worktribe.com/1993280/1/LEONARD%201985%20Induction%20motor%20fault%20recognition