Abstract: Device and method for analyzing time series data monitored on a machine, wherein the device segments the time series data into multiple time segments, determines a cluster of time segments estimated to have the same dynamics of the time series data, then classifies the cluster based on label information associated with at least one of the time segments, presents at least a part of the time series data of the cluster to a user if none of the time segments of the cluster has associated label information, classifies the cluster and generates label information associated with the time segments of the cluster based on a user input received in response to presentation of the time series data, where the generated label information indicates a result of classifying the cluster.

Abstract: A method for providing output values with associated uncertainties for a flexible modular plant or machine comprising an arrangement of modular entities, wherein uncertainty information associated with an operation of the modular entity is assigned to a plurality of modular entities and input values are provided based on an operation of the modular entities, where a computing unit calculates an output value based on said input values, calculates an input value uncertainty for each input value based on the uncertainty information of the modular entity, and calculates at least one output value uncertainty associated with the output value based on propagation of uncertainty and using the input value uncertainties, and where the output value and the at least one output value uncertainty are output.

Abstract: A system and method for generating a holistic digital twin of an industrial facility that includes a plurality of assets, wherein the said system includes conversion units configured to convert asset related data collected from different tools utilized to plan and/or operate the industrial facility in a tool specific data format and asset related data provided by data sources of the industrial facility in a data source specific data format into a common graphical representation, a matching unit configured to match the common graphical representations of the converted asset related data to provide a mapping between the assets of the industrial facility, and a merging unit configured to merge the mapped assets of the industrial facility into a unified graph to provide the holistic digital twin of the industrial facility.

Abstract: A method for providing output values with associated uncertainties for a flexible modular plant or machine comprising an arrangement of modular entities, wherein uncertainty information associated with an operation of the modular entity is assigned to a plurality of modular entities and input values are provided based on an operation of the modular entities, where a computing unit calculates an output value based on said input values, calculates an input value uncertainty for each input value based on the uncertainty information of the modular entity, and calculates at least one output value uncertainty associated with the output value based on propagation of uncertainty and using the input value uncertainties, and where the output value and the at least one output value uncertainty are output.

Abstract: A device, computer program product and method for automatically selecting an optimum production process for an industrial product, wherein an optimum production variant for producing the industrial product is automatically provided.

Abstract: Device and method for analyzing time series data monitored on a machine, wherein the device segments the time series data into multiple time segments, determines a cluster of time segments estimated to have the same dynamics of the time series data, then classifies the cluster based on label information associated with at least one of the time segments, presents at least a part of the time series data of the cluster to a user if none of the time segments of the cluster has associated label information, classifies the cluster and generates label information associated with the time segments of the cluster based on a user input received in response to presentation of the time series data, where the generated label information indicates a result of classifying the cluster.