Abstract
Online monitoring of induction motor health is of increased interest, as the industrial processes that depend on the motors become more complex and as performance to cost ratio of monitoring technology (e.g. sensors, microprocessors) has increased dramatically. Much efforts have been directed towards developing methods that use conventional signal processing and pattern classification techniques. This paper proposes a novel technique for early detection of stator voltage imbalances in three-phase induction motors, which is built upon the theories of wavelet transforms and symbolic time series analysis.
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