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- W2599361567 abstract "During the development process of a semiconductorbased product several types of results are generated, often in large volumes, e.g. simulation or test measurements. These have to be processed and can then be used as a reusable knowledge base for further experiments/developments. Hence, to manage such knowledge from various data sources, it is not sufficient to use classical data analysis methods. A compressed representation of this information, showing only what is important with respect to the systems performance, is desirable. We develop a method to support the combination of information from different sources and to represent it. The concept is based on cascading metamodels: The outputs of metamodels become inputs to subsequent metamodels, and mathematical composition operators can be generated for this concatenating procedure. This method is applied to a power module in order to perform sensitivity analysis on the combined metamodel." @default.
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- W2599361567 date "2016-09-01" @default.
- W2599361567 modified "2023-10-07" @default.
- W2599361567 title "Cascading metamodels from different sources for performance analysis of a power module" @default.
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- W2599361567 doi "https://doi.org/10.1109/fdl.2016.7880386" @default.
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