Abstract
This paper presents an equipment dedicated to the monitoring of synchronous generator through the measurements of the external magnetic field time derivative. The equipment uses a methodology which can be an additional technique to those applied currently on the faults detection, mainly when monitoring the incipient faults type. Based on frequency spectra (magnetic signatures), the faults detection is performed by the analysis of the components evolution. As it is not possible to test the ability of the equipment in detecting several types of faults of generators faults in a power plant, a testbench was constructed for this purpose. Faults inserted deliberately in the generators of the testbench are detected by the equipment, showing its capacity. This equipment has been also installed in power plants.
Highlights
High voltage generators are related to high costs
This magnetic field is due to the leakage flux of the end windings and the stator core
The severity of the stator phase short circuit is relatively low, with only 7% of its nominal value. These results show the necessity of the evaluation of other frequency components simultaneously using, for instance, an artificial intelligence program or other techniques
Summary
High voltage generators are related to high costs. They are expensive and their energy production is financially very relevant. The capability on detecting faults at initial stages provides an upgrade of the security on the machine operation, increasing the reliability of the electrical system. These are the elements justifying and motivating the study and the development of systems for monitoring the health of the machine. In 1998, reference [5] used the analysis of the external field to detect faults in induction motors Such works use non-invasive methodology which consists on analyzing the frequency spectral components of the measured external field. Theoretical and experimental results obtained from these prototypes are presented in this work in order to show the capability of the system on detecting incipient faults in generators. The signatures consist on the frequency spectrum obtained from the time derivative waveforms of the generator external field
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