Abstract: A machine tool which is designed to carry out a specified sequence of work steps is provided. A tool and a processing time is assigned to each work step. A tool magazine is designed to keep a number of tools ready for the machine tool and includes a feeder for conveying tools from and to a transfer point for the machine tool. In a method for assigning tools to spaces of the tool magazine, a number of work steps are determined from the sequence, the respective processing time of each work step being shorter than a specified cycle time of the tool magazine. A work step is iteratively selected from the number of work steps; a previously used tool and a subsequently used tool are assigned spaces of the tool magazine; and the work step is removed from the number of work steps.

Abstract: A method for the computer-aided optimization of tool transports for at least one tool magazine having a number of magazine locations, which is used for a machine tool for the production of one or more workpieces with the aid of the tools provided by a magazine device at a provision location, the method including: a) detecting a quantity of tools, b) determining the space required for each tool, c) detecting a quantity of occupiable magazine locations for each tool, d) detecting a permissible output magazine occupancy e) detecting the permissible target magazine occupancy, f) detecting a quantity of transport durations required for a journey of the magazine device, g) determining a partial quantity of tool transports for which a transport sequence is specifiable so that the tools are movable in the transport sequence, h) optimizing the transport sequence for the partial quantity of tool transports.

Abstract: A method for checking samples for defects is provided, in which image data of the samples are recorded and classified into predeterminable defect categories by a defect detection algorithm, and the samples classified into a defect category are represented in a multi-dimensional confusion matrix as a classification result of the defect detection algorithm, characterized in that—miniature images which reproduce the image data are assigned according to the classified defect categories of the image data to segments of the confusion matrix which represent the defect categories, and these miniature images are displayed visually, —the miniature image is assigned by an interaction with a user or a software robot to a different segment from the assigned segment of the confusion matrix, and is either provided as training image data for the defect detection algorithm or is output as training image data for the defect detection algorithm.

Abstract: A monitoring system for recognizing a contingency in a power supply network including in-field measurement devices adapted to generate measurement data of the power supply network and a processing unit adapted to process the measurement data generated by the in-field measurement devices of the power supply network by using a local network state estimation model to calculate local network state profiles used to generate a global network state profile, wherein the processing unit is further adapted to process the measurement data generated by the in-field measurement devices of the power supply network to provide a relevance profile including for the in-field measurement devices a relevance distribution indicating a probability where the origin of a contingency within the power supply network.

Abstract: A monitoring system includes in-field measurement devices adapted to generate measurement data of a power supply network, and a processing unit adapted to process the measurement data using a local network state estimation model to calculate local network state profiles used to generate a global network state profile. The processing unit is adapted to process the measurement data to provide a relevance profile comprising, for the in-field measurement devices, a relevance distribution indicating a probability where an origin of a contingency within the power supply network resides. The processing unit is adapted to compute a similarity between a candidate contingency profile formed by the generated global network state profile and by the calculated relevance profile and reference contingency profiles stored in a reference contingency database of the monitoring system to identify a reference contingency profile having a highest computed similarity as a recognized contingency within the power supply network.

Abstract: Method for implementing event rules for maintenance relevant events in a plurality of machines, wherein the method utilizes a computer system containing a common central configurator, and wherein the machines are connected to the common central configurator to transfer data, where the method includes defining a maintenance relevant event for a certain class of machines by using the common central configurator, sending the event rule to an edge device of at least one machine of this class, preferably to edge devices of all machines of this class, where the edge device forms part of the computer system, and storing the event rule in the edge device and the common central configurator such that it is possible to implement event rules in a plurality of similar machines without having to implement those event rules on every single machine independently.

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 a method for optimizing the occupancy of magazine spaces by tools within at least one tool magazine for a machine tool in a computer-supported manner, including: detecting a quantity of magazine spaces in at least one tool magazine, detecting a first quantity of tools which occupy at least one magazine space and the magazine spaces occupied by the tools, detecting a second quantity of tools which are to be additionally received in the at least one tool magazine, detecting the required space and optionally at least one other property for each tool, detecting a quantity of allowed magazines spaces for each tool, detecting a quantity of allowed magazine space pairs, wherein a first tool can be placed on a first magazine space of the magazine space pair, and optimizing the occupancy of the magazine spaces.

Abstract: A machine tool which is designed to carry out a specified sequence of work steps is provided. A tool and a processing time is assigned to each work step. A tool magazine is designed to keep a number of tools ready for the machine tool and includes a feeder for conveying tools from and to a transfer point for the machine tool. In a method for assigning tools to spaces of the tool magazine, a number of work steps are determined from the sequence, the respective processing time of each work step being shorter than a specified cycle time of the tool magazine. A work step is iteratively selected from the number of work steps; a previously used tool and a subsequently used tool are assigned spaces of the tool magazine; and the work step is removed from the number of work steps.

Abstract: A method for optimizing the occupancy of magazine spaces by tools within at least one tool magazine for a machine tool in a computer-supported manner is provided. One or more workpieces of one or more workpiece types is produced using the tools supplied by a magazine device at a supply area, having the following steps: a-i) detecting a number of workpieces, magazine spaces, a number of tools, required space, allowable magazines spaces for each tool, allowable starting magazine occupancy, a sequence of work steps to be carried out by the machine tool on a workpiece, work step time periods required to carry out each individual work step on the workpiece, one or more supply time periods depending on the sequence of the work steps to be carried out, and j) optimizing the occupancy of the magazine spaces by tools.

Abstract: A method for the computer-aided optimization of tool transports for at least one tool magazine having a number of magazine locations, which is used for a machine tool for the production of one or more workpieces with the aid of the tools provided by a magazine device at a provision location, the method including: a) detecting a quantity of tools, b) determining the space required for each tool, c) detecting a quantity of occupiable magazine locations for each tool, d) detecting a permissible output magazine occupancy e) detecting the permissible target magazine occupancy, f) detecting a quantity of transport durations required for a journey of the magazine device, g) determining a partial quantity of tool transports for which a transport sequence is specifiable so that the tools are movable in the transport sequence, h) optimizing the transport sequence for the partial quantity of tool transports.

Abstract: Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.

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 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 monitoring system adapted to recognize a contingency in a power supply network, PSN, (2), the monitoring system (1) comprising in-field measurement devices (3) adapted to generate measurement data (MD) of said power supply network (2) and a processing unit (4) adapted to process the measurement data (MD) generated by the in-field measurement devices (3) of said power supply network (2) by using a local network state estimation model (LNSM) to calculate local network state profiles (LNSPs) used to generate a global network state profile (GNSP), wherein said processing unit (4) is further adapted to process the measurement data (MD) generated by the in-field measurement devices (3) of said power supply network (2) to provide a relevance profile (RP) comprising for the in-field measurement devices (3) a relevance distribution indicating a probability where the origin of a contingency within the power supply network, PSN, (2) resides, wherein the processing unit (4) is further adapted to compute a similarity be

Abstract: Provided is an in-field apparatus and method for automatic localization of a fault having occurred at power transmission lines of a power supply system, the in-field apparatus includes a preprocessing unit configured to process measured voltage and/or current raw time series data of the power transmission lines to provide a normalized raw data and/or feature representation of the measured raw time series data, and an artificial intelligence module configured to predict an optimal evaluation time used for evaluation of the measured voltage and/or current raw time series data to localize the fault based on the normalized raw data and/or feature representation.

Abstract: A monitoring system for recognizing a contingency in a power supply network including in-field measurement devices adapted to generate measurement data of the power supply network and a processing unit adapted to process the measurement data generated by the in-field measurement devices of the power supply network by using a local network state estimation model to calculate local network state profiles used to generate a global network state profile, wherein the processing unit is further adapted to process the measurement data generated by the in-field measurement devices of the power supply network to provide a relevance profile including for the in-field measurement devices a relevance distribution indicating a probability where the origin of a contingency within the power supply network.

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.