An Experimental Design for Static Eccentricity Detection in Synchronous Machines Using a Cramér–Rao Lower Bound Technique


Detection of a static eccentricity fault in rotating electrical machines is possible through many measurement techniques, like shaft voltages and flux probes. A predictive maintenance approach typically needs that the condition monitoring technique is on-line, accurate, and ready to detect incipient faults. This paper presents a study of the optimal measurement modality that leads to a minimal identification error of the static eccentricity in synchronous machines. The Cramér–Rao lower bound technique is implemented by taking into consideration both measurement and model uncertainties. Numerical results are obtained employing a two-dimensional finite element model and is experimentally validated on a synchronous two-pole generator. Results indicate that shaft voltage measurements are better suited to the detection of static eccentricity.

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