Generators failure and generators break down can cause high financial consequences. For this reason, several concepts for the condition monitoring of generators have been developed. The purpose of this article is to collect significant generator data in order to form a More
Generators failure and generators break down can cause high financial consequences. For this reason, several concepts for the condition monitoring of generators have been developed. The purpose of this article is to collect significant generator data in order to form a comprehensive analysis by analytical hierarchy process (AHP) method. The AHP is a multi-criteria analysis approach, where is used in order to combine the results of online diagnostic methods and draw conclusions on the most probable failure. A fault diagnosis structure has been designed and several comparison charts have been generated. This trend led to the running generator probable failure, to be revealed. In this paper the circumstances of design and implementation of the LEMS structure with two simulation results are described.
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