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AssigneeSiemens Aktiengesellschaft
InventorsMitchell Joblin, Serghei Mogoreanu
Estimating the term…
A machine learning model processes a current partial design of a technical system and a candidate component for a next design step of designing the technical system. The model computes a probability distribution, which is a probability distribution over changes of a design KPI if the candidate component is added to the current partial design, with the design KPI describing a property of the technical system, and a predicted impact value predicting an absolute value of the design KPI or a change of the design KPI if the candidate component is added to the current partial design. These predictions (for partial designs that cannot be processed by a simulation environment due to their incompleteness) can drastically shorten the feedback loop between engineers in charge of designing a new technical system/product and a simulation environment used for estimating the performance characteristics of the product.
A computer implemented method for automated support of a design of a technical system, comprising the following operations, wherein the operations are performed by modules, and wherein the modules are software modules executed by one or more processors and/or hardware modules:
A system for automated support of a design of a technical system, comprising:
Dependencies are inferred from the claim text.