Induction machine condition monitoring with higher order spectra
Arthur, N.
Penman, J.
Dev. Eng. Int. Ltd., Aberdeen;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Oct 2000
Volume: 47,
Issue: 5
On page(s): 1031-1041
ISSN: 0278-0046
References Cited: 25
CODEN: ITIED6
INSPEC Accession Number: 6729432
Digital Object Identifier: 10.1109/41.873211
Current Version Published: 2002-08-06
Abstract
This paper describes a novel method of detecting and unambiguously
diagnosing the type and magnitude of three induction machine fault
conditions from the single sensor measurement of the radial
electromagnetic machine vibration. The detection mechanism is based on
the hypothesis that the induction machine can be considered as a simple
system, and that the action of the fault conditions are to alter the
output of the system in a characteristic and predictable fashion.
Further, the change in output and fault condition can be correlated
allowing explicit fault identification. Using this technique, there is
no requirement for a priori data describing machine fault conditions,
the method is equally applicable to both sinusoidally and inverter-fed
induction machines and is generally invariant of both the induction
machine load and speed. The detection mechanisms are rigorously examined
theoretically and experimentally, and it is shown that a robust and
reliable induction machine condition-monitoring system has been
produced. Further, this technique is developed into a software-based
automated commercially applicable system
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