Abstract: A method is for the generation of patterns for identifying faults in power supply systems. In this case, values characterizing a state of the power supply system are used for measurable variables specific to the power supply system for various times in a power supply system and values are determined for the variables specific to the power supply system via a model for the power supply system. In this case, the determination via a model is based on known system-specific input variables and unknown system-specific variables, and the unknown system-specific variables are determined in accordance with a fault-free functioning power supply system. Finally, a pattern for identifying faults is generated by forming the difference between the values characterizing the state and the values determined via the model for the various times.

Abstract: A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device.

Abstract: Provided is an assistance apparatus for localizing errors in a monitored technical system consisting of devices and/or transmission lines, including at least one processor configured to obtain values of actual attributes of the devices and/or of the transmission lines, determine an error probability for each device and/or transmission line by processing a graph neural network with the obtained actual values of attributes as input, wherein the graph neural network is trained by training attributes assigned to an attributed graph representation of the technical system, and output an indication for such devices and/or transmission lines, whose error probability is higher than a predefined threshold.

Abstract: A computer implemented method for providing a service for a complex industrial system, the method including the steps of providing Bill of Materials, BoM, trees of system component instances of said complex industrial system; generating automatically a unified BoM data model by clustering matching nodes within the provided BoM trees; and performing the service for the complex industrial system based on the generated unified BoM data model is provided.

Abstract: Provided is a method and an arrangement for enabling a processing step for an object that is to be processed, wherein an availability result, which indicates an availability of the processing step, is determined for the processing step on the basis of rules.

Abstract: A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device.

Abstract: A method for identifying automatically an inner node within a hierarchical network causing an outage of a group of leaf nodes at the lowest hierarchical level, the method including providing an outage state matrix representing an outage state of leaf nodes at the lowest hierarchical level; decomposing the state matrix into a first probability matrix indicating for each inner node the probability that the inner node forms the origin of an outage at the lowest hierarchical level of the hierarchical network and into a second probability matrix indicating for each leaf node at the lowest hierarchical level of the hierarchical network the probability that an inner node forms a hierarchical superordinate node of the respective leaf node at the lowest hierarchical level of the hierarchical network and evaluating the first probability matrix to identify the inner node having caused the outage of the group of leaf nodes.

Abstract: A method for manufacturing a product according to a production plan includes a plurality of production steps. The method includes providing a plurality of production modules, for each production step of the plurality of production steps, independently executing a negotiation process for selecting a production module, and disposing the selected production modules, each selected for performing one of the production steps, for performing the plurality of production steps. The negotiation process includes designating production modules that are capable of performing the production step, assigning module parameters to the designated production modules, calculating a cost for each of the designated production modules based on the module parameters of the respective production module, and selecting one of the designated production modules as a function of the calculated cost.

Abstract: A method and apparatus for determining a network topology of a hierarchical network, the apparatus including: a memory unit to store an outage state matrix representing an outage state of leaf nodes at the lowest hierarchical level of the hierarchical network; and a processing unit to decompose the stored state matrix into a first probability matrix indicating for each inner node of the hierarchical network the probability that the respective inner node forms the origin of an outage at the lowest hierarchical level of the hierarchical network and into a second probability matrix indicating for each leaf node at the lowest hierarchical level of the hierarchical network the probability that an inner node forms a hierarchical superordinate node of the respective leaf node at the lowest hierarchical level of the hierarchical network, wherein the decomposed second probability matrix is evaluated by the processing unit to determine the network topology.

Abstract: A method is for the generation of patterns for identifying faults in power supply systems. In this case, values characterizing a state of the power supply system are used for measurable variables specific to the power supply system for various times in a power supply system and values are determined for the variables specific to the power supply system via a model for the power supply system. In this case, the determination via a model is based on known system-specific input variables and unknown system-specific variables, and the unknown system-specific variables are determined in accordance with a fault-free functioning power supply system. Finally, a pattern for identifying faults is generated by forming the difference between the values characterizing the state and the values determined via the model for the various times.

Abstract: A method and apparatus for determining a network topology of a hierarchical network, the apparatus including: a memory unit to store an outage state matrix representing an outage state of leaf nodes at the lowest hierarchical level of the hierarchical network; and a processing unit to decompose the stored state matrix into a first probability matrix indicating for each inner node of the hierarchical network the probability that the respective inner node forms the origin of an outage at the lowest hierarchical level of the hierarchical network and into a second probability matrix indicating for each leaf node at the lowest hierarchical level of the hierarchical network the probability that an inner node forms a hierarchical superordinate node of the respective leaf node at the lowest hierarchical level of the hierarchical network, wherein the decomposed second probability matrix is evaluated by the processing unit to determine the network topology.

Abstract: A method for identifying automatically an inner node within a hierarchical network causing an outage of a group of leaf nodes at the lowest hierarchical level, the method including providing an outage state matrix representing an outage state of leaf nodes at the lowest hierarchical level; decomposing the state matrix into a first probability matrix indicating for each inner node the probability that the inner node forms the origin of an outage at the lowest hierarchical level of the hierarchical network and into a second probability matrix indicating for each leaf node at the lowest hierarchical level of the hierarchical network the probability that an inner node forms a hierarchical superordinate node of the respective leaf node at the lowest hierarchical level of the hierarchical network and evaluating the first probability matrix to identify the inner node having caused the outage of the group of leaf nodes.

Abstract: Provided is a method and an arrangement for enabling a processing step for an object that is to be processed, wherein an availability result, which indicates an availability of the processing step, is determined for the processing step on the basis of rules.

Abstract: A method for manufacturing a product according to a production plan includes a plurality of production steps. The method includes providing a plurality of production modules, for each production step of the plurality of production steps, independently executing a negotiation process for selecting a production module, and disposing the selected production modules, each selected for performing one of the production steps, for performing the plurality of production steps. The negotiation process includes designating production modules that are capable of performing the production step, assigning module parameters to the designated production modules, calculating a cost for each of the designated production modules based on the module parameters of the respective production module, and selecting one of the designated production modules as a function of the calculated cost.

Abstract: A novel power allocation method, as early as in the procurement of electricity, takes account of network congestion and simultaneously enables logical and physical separation of network control and power allocation. An allocation component and a network monitoring component separately from one another detect tasks relating to the allocation of power and via predetermined interfaces exchange information or intermediate states relating to the allocation before the allocation is actually implemented for power control. This enables adaptive power control of power sources and consumer units and the flexible implementation of a plurality of requirements of a modern power distribution network.

Abstract: A novel power allocation method, as early as in the procurement of electricity, takes account of network congestion and simultaneously enables logical and physical separation of network control and power allocation. An allocation component and a network monitoring component separately from one another detect tasks relating to the allocation of power and via predetermined interfaces exchange information or intermediate states relating to the allocation before the allocation is actually implemented for power control. This enables adaptive power control of power sources and consumer units and the flexible implementation of a plurality of requirements of a modern power distribution network.