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- W2089399059 abstract "A new perspective of dynamic LCA (life cycle assessment) is proposed with the predictive usage mining for sustainability (PUMS) algorithm. By defining usage patterns as trend, seasonality, and level from a time series of usage information, predictive LCA can be conducted in a real time horizon. Large-scale sensor data of product operation is analyzed in order to mine usage patterns and build a usage model for LCA. The PUMS algorithm consists of handling missing and abnormal values, seasonal period analysis, segmentation analysis, time series analysis, and predictive LCA. A newly developed segmentation algorithm can distinguish low activity periods and help to capture patterns more clearly. Furthermore, a predictive LCA method is formulated using a time series usage model. Finally, generated data is used to do predictive LCA of agricultural machinery as a case study." @default.
- W2089399059 created "2016-06-24" @default.
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- W2089399059 date "2014-08-17" @default.
- W2089399059 modified "2023-09-25" @default.
- W2089399059 title "Predictive Usage Mining for Sustainability of Complex Systems Design" @default.
- W2089399059 doi "https://doi.org/10.1115/detc2014-34755" @default.
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