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Statistical Health Reasoning System of Power Generator Stator Windings against Water Absorption : 발전기 고정자 권선 흡습에 대한 통계적 추론 시스템 개발

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Authors
박경민
Advisor
윤병동
Major
공과대학 기계항공공학부
Issue Date
2014-02
Publisher
서울대학교 대학원
Keywords
Power GeneratorStator WindingStatistical CorrelationHealth DiagnosticsDirectional Mahalanobis DistanceWater Absorption
Description
학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2014. 2. 윤병동.
Abstract
The power generator, as one of the most critical components in a power plant, is typically maintained through use of a time- or usage-based strategy. Either strategy could result in a substantial waste of remaining useful life (RUL), high maintenance costs, and/or low plant availability due to excess, untimely, or missed maintenance. Recently, the field of prognostics and health management has offered new general diagnostic and prognostic techniques to precisely assess health conditions and robustly predict the RUL of engineered systems, with the aim of addressing the aforementioned deficiencies. This paper explores a smart health reasoning system that can be used to assess the health condition of power generator stator windings and their levels of water absorption. The system monitors health based on capacitance measurements of the winding insulations. In particular, a new relative health measure, namely the Directional Mahalanobis Distance (DMD), is proposed to quantify the health condition of stator windings. This paper also proposes an empirical health classification rule, based upon the DMD, which factors in maintenance history. The proposed smart health reasoning system is validated using eight years field data from eight generators, each of which contains forty-two windings.
Language
English
URI
https://hdl.handle.net/10371/123738
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College of Engineering/Engineering Practice School (공과대학/대학원)Dept. of Mechanical Aerospace Engineering (기계항공공학부)Theses (Master's Degree_기계항공공학부)
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