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This paper proposes a data-mining based scheme in order to build a classifier able to achieve a reliable drift monitoring in normal operating conditions of multicellular converters (MCC). The goal is to achieve an early diagnosis of faults that can affect the behavior of MCC. This scheme considers the converter as a discretely controlled continuous system. Therefore, it takes into account the converter...
The production of maximum amount of electrical power from wind requires the improvement of wind turbine reliability. The life duration and the good functioning of the wind turbine depend heavily on the reliability of its blades. Thus, a critical task is to detect and isolate faults, as fast as possible, and regain optimal functioning in the shortest time. In this paper, a pattern recognition approach...
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