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|Title: ||The monitoring of induction motor starting transients with a view to early fault detection.|
|Authors: ||Elder, Stewart|
|Supervisors: ||Watson, John|
Thomson, W. T.
Maxwell, Grant M.
|Issue Date: ||Mar-1992|
|Publisher: ||The Robert Gordon University|
|Citation: ||ELDER, S., WATSON, J. F. and THOMSON, W. T., 1989. Fault detection in induction motors as a result of transient analysis. 4th IEE International Conference on Electrical Machines. London. pp. 182-184|
ELDER, S., WATSON, J. F. and THOMSON, W. T., 1989. The monitoring and analysis of transient currents for the purpose of fault detection in induction motors.. 24th Universities Power Engineering Conference (UPEC). Belfast.
ELDER, S., WATSON, J. F. and THOMSON, W. T., 1990. The analysis of transient currents in induction motors for the purpose of detecting motor faults.
|Abstract: ||The aim of this work is to investigate the possibility of detecting faults in a 3
phase Induction motor by monitoring and analysing the transient line current
waveform during the starting period. This is a particularly onerous time for the
machine and the inter-relationships between parameters such as current, torque,
speed and time are very complex. As a result two parallel paths of investigation
have been followed, by methods of experimentation and computer simulation.
Transient line current signals have been obtained from purpose built test rigs
and these signals have been analysed in both the time and frequency domains.
In order to assist with the comprehension of this data a sophisticated computer
simulation of the induction motor during the starting period has also been
developed. Computer simulation of the induction motor has been developed
initially using the two and then three phase induction motor voltage equations
which are solved by numerical integration.
Using these techniques it has been possible to detect small degrees of fault level
for both wound and cage rotor machines by analysing the line current waveform
during the starting period. Good agreement has been found between the real
and simulated data.
A range of Digital Signal Processing techniques have been utilised to extract the
components indicative of rotor faults. These techniques were at first wideband
and highly numerically intensive, some originating from Speech Processing. The
final processing techniques were far simpler and selected by analysis of the
results from experimental data, both real and simulated.|
|Appears in Collections:||Theses (Engineering)|
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