Induction machine condition monitoring with higher order spectra
Arthur, N.; Penman, J.
Industrial Electronics, IEEE Transactions on
Volume 47, Issue 5, Oct 2000 Page(s):1031 - 1041
Digital Object Identifier 10.1109/41.873211
Summary: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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