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- W3136504035 abstract "This paper presents a method for comparing and evaluating cavitation detection features - the first step towards estimating remaining useful life (RUL) of hydroturbine runners that areimpacted by erosive cavitation. The method can be used to quickly compare features created from cavitation survey data collected on any type of hydroturbine, sensor type, sensor location, and cavitation sensitivity parameter (CSP). Although manual evaluation and knowledge of hydroturbine cavitation is still required for our feature selection method, the use of principal component analysis greatly reduces the number of plots that require evaluation. We present a case study based on a cavitation survey data collected on a Francis hydroturbine located at a hydroelectric plant and demonstrate the selection of the most advantageous sensor type, sensor location, and CSP to use on this hydroturbine for long-term monitoring of erosive cavitation. Our method provides hydroturbine operators and researchers with a clear and effective means to determine preferred sensors, sensor placements, and CSPs while also laying the groundwork for determining RUL in the future." @default.
- W3136504035 created "2021-03-29" @default.
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- W3136504035 date "2020-11-16" @default.
- W3136504035 modified "2023-09-23" @default.
- W3136504035 title "Feature Selection for Monitoring Erosive Cavitation on a Hydroturbine" @default.
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- W3136504035 doi "https://doi.org/10.36001/ijphm.2017.v8i1.2528" @default.
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