PROJECT TITLE :
Statistical Health Reasoning of Water-Cooled Power Generator Stator Bars Against Moisture Absorption
The facility generator is typically maintained with a time- or usage-primarily based strategy, that could result in a considerable waste of remaining useful life, high maintenance price, and low plant availability. Recently, the sphere of prognostics and health management offers diagnostic and prognostic techniques to exactly assess the health condition and robustly predict the remaining helpful life (RUL) of an built system, with an aim to address the aforementioned deficiencies. This paper explores a smart health reasoning system to assess the health condition of power generator stator bars against moisture absorption based mostly on the statistical analysis of the capacitance measurements on bar insulators. In specific, a relative health measure, particularly the directional Mahalanobis distance, is proposed to quantify the health condition of a stator bar. The sensible health reasoning system is validated using five years’ field data from seven generators, every of which contains 42 turns.
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